Method for analyzing coupling effect of power transmission tower system based on mode clustering
By using a modal clustering method, the system model and environmental characteristics of the transmission tower were obtained, and dynamic characteristic analysis and modal parameter classification were performed. This solved the problem of analyzing the coupling effect of the transmission tower system, enabled accurate response assessment of the tower structure under high wind conditions, and reduced the risk of collapse.
Patent Information
- Application Number
- CN202310459985.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-06-09
- Publication Date
- 2025-12-19
- Estimated Expiration
- 2042-06-09
AI Technical Summary
Existing technologies have failed to effectively analyze the coupling effects of transmission tower systems, making it difficult to predict structural deformation and collapse risks under high wind conditions.
By employing a mode-based clustering method, dynamic characteristic analysis is performed on the transmission tower system model, node set, and environmental characteristics. Mode parameters are obtained, and Q-type clustering is conducted to obtain mode classification, thereby accurately determining the impact of coupling effects on the transmission tower system.
It enables precise analysis of the coupling effect of the transmission tower system, and can evaluate the tower structure response under strong wind conditions from the perspective of dynamic characteristics, thereby reducing the risk of collapse.
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Figure CN116484476B_ABST
Abstract
Description
[0001] The application is a divisional application, the parent application number is 202210651792.3, the application date is June 9, 2022, and the invention name is a power transmission tower system mode clustering method, device and computer equipment. TECHNICAL FIELD
[0002] The application relates to the technical field of power transmission networks, in particular to a power transmission tower system coupling effect analysis method based on mode clustering. BACKGROUND
[0003] The statements in this part only provide background technical information related to the application and do not necessarily constitute prior art.
[0004] A power transmission tower system is a system for long-distance transmission of electric power. The power transmission tower system includes a power transmission tower and a conductor ground wire. The power transmission tower is a tower structure used to support and overhead conductor, lightning conductor and other accessories, and to maintain a predetermined safety distance between the conductor and the conductor, the conductor and the tower, the conductor and the lightning conductor, the conductor and the ground or the crossing span. The conductor ground wire is erected on the power transmission tower for power transmission.
[0005] The structural safety of the power transmission tower in the power transmission tower system is directly related to the normal operation of the national power grid and the power transmission line. However, the lightweight and high flexibility of the power transmission tower make it have a large response when it faces a large wind exceeding the design standard, and some components will have a large deformation, or even breakage, which is a direct inducement for many power transmission tower collapses. The collapse of the power transmission tower often brings huge economic losses. Scholars in this field provide reference for power transmission tower wind resistance design and anti-continuity collapse design by studying wind load acting on the power transmission tower line system and wind-induced response of the power transmission tower under different wind fields. Existing research shows that the peak value of the power spectrum of the wind-induced response of the power transmission tower line system will move with the change of wind speed, and the coupling effect should be considered when analyzing the wind resistance of the power transmission tower line system.
[0006] In the related art, there is no coupling effect related to the power transmission tower system. SUMMARY
[0007] In order to solve the problem that the coupling effect of the power transmission tower system is not analyzed in the related art, the application provides a power transmission tower system coupling effect analysis method based on mode clustering.
[0008] The application provides a power transmission tower system coupling effect analysis method based on mode clustering, including the following steps:
[0009] Obtain a power transmission tower system model, a power transmission tower node set and environmental characteristics;
[0010] performing dynamic characteristic analysis on the power transmission tower system model according to the environmental characteristics to obtain mode shape parameters of the power transmission tower system model;
[0011] Among the mode shape parameters of the power transmission tower system model, mode shape parameters corresponding to each node in the power transmission tower node set are obtained;
[0012] The mode shape parameters of the nodes are subjected to Q-type clustering to obtain mode shape classification;
[0013] The power transmission tower system model is a three-dimensional model of a power transmission tower system constructed based on finite element software. The three-dimensional model constructed based on finite element software can be endowed with mechanical properties. The power transmission tower node set is a set of multiple nodes sampled in the power transmission tower system;
[0014] Obtaining the power transmission tower node set includes:
[0015] The power transmission tower model without considering the conductor ground wire is subjected to dynamic characteristic analysis to obtain mode shape parameters of the corresponding single tower. The mode shape parameters of the single tower include natural frequency and mode shape.
[0016] Mode shape displacements of m nodes are extracted from the mode shape parameters of the single tower;
[0017] The mode shape displacements of the m nodes are subjected to R-type clustering to reduce the number of nodes to n and obtain a node set of n nodes.
[0018] Preferably, the obtaining of the power transmission tower system model includes:
[0019] Obtaining a power transmission tower construction drawing of an actual power transmission line and conductor ground wire parameters;
[0020] Establishing a power transmission tower model according to the power transmission tower construction drawing;
[0021] Establishing a conductor ground wire model according to the conductor ground wire parameters;
[0022] Obtaining the power transmission tower system model according to the power transmission tower model and the conductor ground wire model.
[0023] Preferably, the obtaining of the power transmission tower system model according to the power transmission tower model and the conductor ground wire model includes:
[0024] Determining a tower line connection mode and a boundary constraint condition according to the power transmission tower construction drawing;
[0025] Constraining the conductor ground wire model and the power transmission tower model according to the tower line connection mode and the boundary constraint condition to obtain the power transmission tower system model.
[0026] Preferably, the dynamic characteristic analysis on the power transmission tower system model according to the environmental characteristics obtains mode shape parameters of the power transmission tower system model; and the environmental characteristics include landform characteristics and wind field characteristics.
[0027] The environmental characteristics are equivalent to static wind load on each wind adding point in the power transmission tower system model to obtain a balance state of the power transmission tower system model.
[0028] According to the tension of different conductor ground wires in the power transmission tower system model, a plurality of balance states of the power transmission tower system model are obtained.
[0029] The dynamic characteristic analysis is performed on the plurality of balance states of the power transmission tower system model to obtain a plurality of groups of mode shape parameters of the power transmission tower system model; and the mode shape parameters of the power transmission tower system model include natural frequency and mode shape.
[0030] Preferably, the mode shape parameters corresponding to each node in the power transmission tower node set are obtained from the mode shape parameters of the power transmission tower system model.
[0031] According to the mode shape parameters of the power transmission tower system model, the mode shape parameters of key nodes in the power transmission tower system model are determined and normalized.
[0032] The mode shape parameters corresponding to each node in the power transmission tower random node set are obtained from the normalized mode shape parameters of the key nodes in the power transmission tower system model.
[0033] Preferably, the method further comprises: obtaining the mode shape parameters of the tower head node from the mode shape parameters of the key nodes in the power transmission tower system model.
[0034] According to the mode shape parameters of the tower head node, bending data set and torsion data set of the power transmission tower mode shape are determined.
[0035] Preferably, the method further comprises: obtaining the mode shape parameters of the cross diagonal material from the mode shape parameters of the key nodes in the power transmission tower system model.
[0036] The mode shape parameters of the cross diagonal material are state-induced to obtain test clustering data.
[0037] According to the test clustering data, the mode shape classification is adjusted until a preset condition is met.
[0038] Preferably, the method further comprises: determining the distribution interval and the principal component frequency value of the mode shape according to the mode shape classification.
[0039] Preferably, the method further comprises performing cluster analysis on the power transmission tower system model under different environmental characteristics to obtain a mode classification corresponding to the power transmission tower system model under different environmental characteristics.
[0040] Compared with the prior art, the application has the following beneficial effects:
[0041] The application obtains a power transmission tower system model, a power transmission tower node set and environmental characteristics. The application performs dynamic characteristic analysis on the power transmission tower system model according to the environmental characteristics to obtain mode parameters of the power transmission tower system model. The application obtains mode parameters of each node in the power transmission tower node set from the mode parameters of the power transmission tower system model. Finally, the application performs Q-type clustering on the mode parameters of each node to obtain a mode classification. The application performs dynamic characteristic analysis on the power transmission tower system according to the environmental characteristics to obtain mode parameters of each node. Then, the application classifies the mode parameters by Q-type clustering to obtain a mode classification. Based on the mode classification, the influence of coupling effect on the power transmission tower system can be accurately determined from the perspective of dynamic characteristics. BRIEF DESCRIPTION OF DRAWINGS
[0042] The drawings accompanying the specification of the application form a part thereof and serve to further understand the application, the illustrative embodiments thereof and the description thereof, and do not constitute any improper limitation of the application.
[0043] Figure 1 is a flowchart of a mode clustering-based power transmission tower system coupling effect analysis method according to an embodiment of the application;
[0044] Figure 2 is a flowchart of a method for establishing a power transmission tower system model according to an embodiment of the application;
[0045] Figure 3 is a flowchart of a method for obtaining a random power transmission tower node set according to an embodiment of the application;
[0046] Figure 4 is a flowchart of a method for calculating mode parameters of a power transmission tower system model according to an embodiment of the application;
[0047] Figure 5 is a schematic diagram of a typical mode of a power transmission tower according to an embodiment of the application;
[0048] Figure 6 is a flowchart of a method for judging overall bending and torsion of a power transmission tower mode in a power transmission tower line system according to an embodiment of the application;
[0049] Figure 7 is a schematic diagram of a deformation state of a cross diagonal material according to an embodiment of the application;
[0050] Figure 8is a flow chart of a mode shape clustering analysis method of a power transmission tower line system according to an embodiment of the present application;
[0051] Figure 9 is a structural block diagram of a mode shape clustering device of a power transmission tower system according to an embodiment of the present application;
[0052] Figure 10 is a hardware structure schematic diagram of a computer device according to an embodiment of the present application. DETAILED DESCRIPTION
[0053] The present application will be further described below in conjunction with the accompanying drawings and embodiments.
[0054] It should be noted that the terms used herein are only intended to describe specific embodiments and are not intended to limit exemplary embodiments according to the present disclosure. As used herein, the singular form is intended to include the plural form, unless the context clearly indicates otherwise, and it should also be understood that, when the terms "comprise" and / or "include" are used in the specification, they indicate the presence of the features, steps, operations, devices, components and / or combinations thereof.
[0055] In the present disclosure, the terms such as "upper", "lower", "left", "right", "front", "back", "vertical", "horizontal", "side", "bottom", etc. indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, which is only a relationship word determined for the convenience of describing the structural relationship of the components or elements of the present disclosure, and cannot be understood as a limitation on the present disclosure.
[0056] In a power transmission tower system, the collapse of a power transmission tower often causes huge economic losses. Scholars in this field provide references for wind-resistant design and anti-continuity collapse design of power transmission towers by studying wind loads acting on power transmission tower line systems and wind-induced responses of power transmission towers under different wind fields. Existing studies have shown that the peak value of the power spectrum of the wind-induced response of the power transmission tower line system will move with the change of wind speed, and the coupling effect should be considered when analyzing the wind resistance of the power transmission tower line system, but the mechanism and action mechanism have not been clearly studied.
[0057] In the process of coupling effect research of transmission tower system, researchers at home and abroad have carried out a large number of wind-induced response dynamic analysis of transmission tower system, and studied the response characteristics of transmission tower system under different working conditions. Because the coupling system of transmission tower line is composed of rigid lattice tower structure and flexible cable structure, the response of the coupling system in random wind field is extremely complex. Some researchers have proposed a calculation model for solving the in-plane dynamic characteristics of the transmission tower line coupling system through experimental analysis. Among them, based on the aerodynamic elastic model test of long-span transmission tower line system, it is found that the coupling effect of tower line will change the dynamic characteristics and wind-induced response components of the transmission tower. Because the transmission tower has many tower types such as pyramid tower, wine cup tower and cat head tower, and the line span often has great difference, the current research method only reflects the dynamic characteristics of part of the tower line system, and still cannot quantitatively give the influence of the universal coupling effect. Therefore, exploring a reasonable method to determine the coupling effect of transmission tower line system is still a subject that needs further research.
[0058] The embodiment of the application provides a method for mode shape clustering analysis of a transmission tower line system. On the basis of establishing a finite element model of the transmission tower line, mode shape displacement values of key nodes in the model are automatically extracted and calculated by a script program, the overall bending and torsion degrees of the transmission tower mode shape are judged, and mode shape clustering analysis is performed on the tower line system, so that frequency distribution intervals and principal frequency values of various mode shapes are output, and the influence of the coupling effect on the tower line system is analyzed from the perspective of dynamic characteristics.
[0059] The embodiment provides a transmission tower system coupling effect analysis method based on mode shape clustering. Figure 1 The flowchart of the transmission tower system coupling effect analysis method based on mode shape clustering according to the embodiment of the application is shown in Figure 1 The flowchart includes the following steps:
[0060] In step S100, a transmission tower system model, a transmission tower node set and environmental characteristics are obtained.
[0061] Specifically, the transmission tower system model is a three-dimensional model of the transmission tower system constructed based on a finite element software. The three-dimensional model constructed by the finite element software can be endowed with mechanical characteristics. In the calculation, the model is subjected to experimental condition simulation, such as tensile, bending and torsional mechanical experiments, so that the deformation, stress, strain distribution, internal energy change and limit failure of any part under different conditions can be solved. The transmission tower node set is a set of multiple nodes sampled in the transmission tower system. The environmental characteristics include the topographic features of the transmission tower system or the wind field characteristics of the location of the transmission tower system. The topographic features are based on the topographic types in the structural load specification, mainly considering the influence of trees or buildings on the ground on the wind field. The wind field characteristics refer to the average wind size, fluctuating wind size, turbulence intensity and the like.
[0062] Step S200, according to the environmental characteristics of the power transmission tower system model for dynamic characteristics analysis, get the mode shape parameters of the power transmission tower system model.
[0063] Specifically, according to the geomorphologic features and wind field characteristics of the power transmission tower system, the wind field is equivalent to the static wind load on each wind point, and the balance state of the power transmission tower system model under the action of the wind field is obtained. The dynamic characteristics of the power transmission tower system model under the corresponding balance state are analyzed, and the mode shape parameters of the power transmission tower system model are obtained. The dynamic characteristics analysis is to calculate the natural frequency and the corresponding mode shape of the corresponding structure according to the power transmission tower system model. The mode shape parameters include the natural frequency and the mode shape. The mode shape is that when the structure vibrates at its own natural frequency, the vibration displacement amplitude of each mass point of the structure is constant, or the deformation form of the structure remains unchanged, and the vibration form under this condition is called mode shape.
[0064] Step S300, in the mode shape parameters of the power transmission tower system model, the mode shape parameters corresponding to each node in the power transmission tower node set are obtained.
[0065] Specifically, according to the mode shape parameters of the power transmission tower system model, the mode shape parameters of the key nodes in the power transmission tower system model are determined and normalized. The key nodes include the tower top node, the hanging line node, the rod 4 equal division node, etc. In the mode shape parameters of all nodes of the power transmission tower system, the mode shape parameters corresponding to the above key nodes are obtained. And the mode shape parameters of the key nodes are normalized. The normalization processing is that first, the maximum value in the mode shape parameters of all key points is obtained, and then each key point mode shape parameter is divided by the maximum value in the mode shape parameter. In the normalized mode shape parameters of the key nodes of the power transmission tower system model, the mode shape parameters corresponding to each node in the power transmission tower random node set are obtained.
[0066] Step S400, Q-type clustering is performed on the mode shape parameters of each node to obtain the mode shape classification.
[0067] Specifically, Q-type clustering is a clustering analysis of samples, which classifies all observation objects according to certain properties, so that objects with similar properties are classified into the same class, and objects with large property differences are classified into another class. Based on Q-type clustering, the mode shape parameters of each node in the power transmission tower node set obtained above are clustered and analyzed to obtain the mode shape classification of each node in the power transmission tower model.
[0068] The method for analyzing coupling effect of a power transmission tower system based on mode clustering provided by the embodiment of the application comprises the following steps of: obtaining a power transmission tower system model, a power transmission tower node set and environmental characteristics; performing dynamic characteristic analysis on the power transmission tower system model according to the environmental characteristics to obtain mode parameters of the power transmission tower system model; obtaining mode parameters of each node in the power transmission tower node set from the mode parameters of the power transmission tower system model; and finally performing Q-type clustering on the mode parameters of each node to obtain mode classification. The mode classification is obtained by performing dynamic characteristic analysis on the power transmission tower system according to the environmental characteristics, obtaining mode parameters of each node, and then performing Q-type clustering on the mode parameters. Based on the mode classification, the influence of the coupling effect on the power transmission tower system can be accurately determined from the perspective of dynamic characteristics.
[0069] The embodiment provides a method for establishing a power transmission tower system model. Figure 2 The method for establishing a power transmission tower system model according to the embodiment of the application is shown in the flowchart of Figure 2 The method for establishing a power transmission tower system model according to the embodiment of the application is shown in the flowchart of
[0070] In step S111, a power transmission tower construction drawing of an actual power transmission line and conductor and ground wire parameters are obtained.
[0071] Specifically, the actual power transmission line is an actual power transmission tower system. The power transmission tower construction drawing comprises the style, size, cross-sectional size, length, spatial positioning and connection point form of each pole member of the power transmission tower. The connection point form comprises welding, bolt connection and specific bolt quantity and relative position. The conductor and ground wire parameters comprise the cross-sectional size, linear density, elastic model, ultimate tensile tension and designed spatial geometric configuration of the conductor and ground wire.
[0072] In step S112, a power transmission tower model is established according to the power transmission tower construction drawing.
[0073] Specifically, in the finite element calculation software ABAQUS, numerical simulation is performed according to each parameter in the power transmission tower construction drawing to generate a corresponding power transmission tower model.
[0074] In step S113, a conductor and ground wire model is established according to the conductor and ground wire parameters.
[0075] Specifically, in the finite element calculation software ABAQUS, numerical simulation is performed according to the conductor and ground wire parameters to generate a corresponding conductor and ground wire model. Since the conductor and ground wire are soft cable structures, the influence of gravity on the spatial structure thereof needs to be considered, and therefore, the final model cannot be directly constructed in the numerical model, and the shape needs to be found first and then the model is constructed in the numerical model.
[0076] In step S114, a power transmission tower system model is obtained according to the power transmission tower model and the conductor and ground wire model.
[0077] Specifically, according to the construction drawing of the power transmission tower, the tower-line connection mode and the boundary constraint condition are determined. The tower-line connection mode is the connection mode of the power transmission tower and the ground wire, and the insulator string commonly used includes V type, I type and the like. The boundary constraint condition includes the degrees of freedom of the power transmission tower and the ground wire. According to the tower-line connection mode and the boundary constraint condition, the ground wire model and the power transmission tower model are constrained to obtain the power transmission tower system model. For example, all degrees of freedom of the tower leg contact point of the power transmission tower model are constrained, and the corresponding degrees of freedom of the ground wire model at the end where the power transmission tower model is not arranged are constrained to form the overall power transmission line numerical model. The above two degrees of freedom are the translation and rotation in XYZ three directions, and there are 6 degrees of freedom. The constrained degrees of freedom means that the 6 degrees of freedom are fixed and constrained to be zero throughout the whole process.
[0078] According to the construction drawing of the power transmission tower and the ground wire parameters, the model of the power transmission tower system can be accurately established in the embodiment of the application. Therefore, the clustering analysis of the power transmission tower system is more accurate.
[0079] The embodiment provides a method for obtaining a random node set of a power transmission tower. Figure 3 The flowchart of the method for obtaining the random node set of the power transmission tower according to the embodiment of the application is shown in Figure 3 The flowchart of the method for obtaining the random node set of the power transmission tower according to the embodiment of the application is shown in
[0080] In step S121, the power transmission tower model without considering the ground wire is subjected to dynamic characteristic analysis to obtain the vibration mode parameters of the corresponding single tower.
[0081] Specifically, the vibration mode parameters of the single tower include the natural frequency and the vibration mode. There are various types of power transmission towers in the power transmission tower system, such as the dry pyramid, the wine cup tower, the cat head tower and the like. The power transmission tower model without considering the ground wire is obtained in all power transmission tower models. The power transmission tower without considering the ground wire is used more in the early stage in the field, and the current research is more in-depth and fine. After the power transmission tower model without considering the ground wire is obtained, the corresponding model is subjected to dynamic characteristic analysis to obtain the vibration mode parameters of the corresponding single tower.
[0082] In step S122, the vibration mode displacement of m nodes is extracted from the vibration mode parameters of the single tower.
[0083] In step S123, the vibration mode displacement of the m nodes is subjected to R-type clustering to reduce the number of nodes to n, and the node set of the n nodes is obtained.
[0084] Specifically, after obtaining the mode shape displacement of the m nodes, R-type clustering is performed on all the obtained mode shape displacements, so that the m nodes are reduced to n nodes, and the n nodes are taken as the node set. The R-type clustering is one of clustering analysis methods. Different variables are classified according to the correlation degree. When there are many variables and the correlation is strong, the R-type clustering method can be used to cluster the variables into several categories. The variables in the same category have strong correlation, the variables in different categories have low correlation, and a typical variable can be found in the same category as a representative, so that the number of variables is finally reduced to achieve the purpose of dimension reduction.
[0085] The embodiment provides a method for calculating mode shape parameters of a power transmission tower system model. Figure 4 is a flowchart of the method for calculating mode shape parameters of the power transmission tower system model according to the embodiment of the application, as shown in Figure 4 S200 further includes the following steps:
[0086] In step S210, the environmental characteristics are equivalent to the static wind load on each wind adding point in the power transmission tower system model, and the equilibrium state of the power transmission tower system model is obtained.
[0087] Specifically, the environmental characteristics are equivalent to the static wind load on each wind adding point in the power transmission tower system model according to the overhead transmission line design specification or the building structure; or the environmental characteristics are equivalent to the static wind load on each wind adding point in the power transmission tower system model according to the wind load calculation method in the load specification. Finally, the equilibrium state of the power transmission tower system model is obtained. The equilibrium state is a state in which the response of the power transmission tower system remains constant after being subjected to the static wind force.
[0088] In step S220, the equilibrium states of multiple power transmission tower system models are obtained according to the tension of different conductor ground wires in the power transmission tower system model.
[0089] Specifically, by changing the tension of different conductor ground wires in the power transmission tower system model, for each kind of tension of the power transmission tower system model, the equilibrium state of the corresponding tension power transmission tower system model is calculated by the method in step 210. Thus, the equilibrium states of multiple power transmission tower systems can be obtained.
[0090] In step S230, dynamic characteristic analysis is performed on the equilibrium states of the multiple power transmission tower system models, and multiple groups of mode shape parameters of the power transmission tower system models are obtained.
[0091] Specifically, the mode shape parameters of the power transmission tower system model include the natural frequency and the mode shape.
[0092] In one of the embodiments, further comprising: obtaining the mode shape parameters of the tower head nodes in the mode shape parameters of the key nodes of the transmission tower system model, wherein the tower head nodes include: a tower top center node, two ground wire support hanging wire nodes, and two edge conductor hanging wire nodes; obtaining the mode shape displacement data of the five tower head nodes in the mode shape parameters of the key nodes, wherein the mode shape displacement data is the node displacement; determining the bending data set and the torsion data set of the transmission tower mode shape according to the mode shape parameters of the tower head nodes, wherein the bending data set and the torsion data set of the transmission tower mode shape are determined according to the mode shape displacement of the tower head nodes; the overall bending judgment method is that when the mode shape displacement value in one direction is significantly larger than that in another direction, it is considered that the transmission tower mode shape has overall bending; and the overall torsion judgment method is that when the product of the mode shape displacement values of the two ground wire support hanging wire points or the mode shape displacement values of the two edge conductor hanging wire points in the component in the line direction is less than zero and the deformation directions of the two points are opposite, it is considered that the transmission tower mode shape has overall torsion.
[0093] In one of the embodiments, further comprising: obtaining the mode shape parameters of the cross diagonal members in the mode shape parameters of the key nodes of the transmission tower system model; and performing state induction on the mode shape parameters of the cross diagonal members to obtain the test clustering data. Specifically, the state of the cross diagonal members is induced into four categories of in1, in2, out1, and out2, and the four categories are taken as the test data of the mode shape clustering to verify the mode shape classification obtained after the clustering. Wherein, ini and outi respectively refer to the mode shape displacement of the cross diagonal members being inward or outward relative to the tower body elevation, and i refers to the rod deformation of the mode shape of the cross diagonal members being i-order bending. The mode shape classification is adjusted and checked according to the test clustering data until the preset condition is met. Wherein, the adjustment and checking are performed by calculating the similarity between the vectors formed by the deformation states, and when the similarity reaches a similarity threshold, the preset condition is met. The specific similarity threshold can be determined according to the need for analysis accuracy.
[0094] In one of the embodiments, further comprising: determining the distribution interval and the principal component frequency value of the mode shape according to the mode shape classification.
[0095] In one of the embodiments, further comprising: performing clustering analysis on the transmission tower system models with different environmental characteristics to obtain the mode shape classification corresponding to the transmission tower system models under different environmental characteristics.
[0096] In one of the embodiments, the determination of the mode shape parameters of the key nodes in the transmission tower system model is automatically determined by programming scripts. The determination of the bending data set and the torsion data set of the transmission tower mode shape is automatically determined by programming scripts. The Q-type clustering of the mode shape parameters of each node to obtain the mode shape classification is automatically determined by programming scripts. The adjustment and checking of the mode shape classification is automatically determined by programming scripts.
[0097] In one of the embodiments, the transmission tower model and the conductor-ground wire model are basic elements of the transmission tower system model, and the number and type of the transmission towers in the transmission tower system model are not limited in the embodiments of the present application, and the tower types include but are not limited to multi-member space towers such as dry pyramids, cat head towers, wine cup towers and the like.
[0098] In one of the embodiments, the conductor-ground wire model is a conductor-ground wire model considering the influence of gravity. The method for establishing the initial conductor-ground wire model considering the gravity includes but is not limited to parabolic coordinate positioning method, catenary coordinate positioning method and the like.
[0099] In one of the embodiments, the transmission tower model in the transmission tower model and the transmission tower system model includes but is not limited to angle steel members, round tube members and T-shaped combined members, Y-shaped combined members, cross-shaped combined members, double L-shaped combined members and the like commonly used in in-situ reinforcement schemes.
[0100] In one of the embodiments, the transmission tower system model includes but is not limited to common single-tower two-span line model, three-tower two-span line model, three-tower five-span line model, five-tower four-span line model and the like.
[0101] In one of the embodiments, the conductor-ground wire model includes but is not limited to ground wire model and conductor model; the conductor model includes but is not limited to commonly used double split conductor model, four split conductor model, eight split conductor model and the like.
[0102] In one of the embodiments, the connection scheme of the transmission tower model and the conductor-ground wire model includes but is not limited to multi-point hinged connector connection, insulator numerical model connection and the like.
[0103] The embodiments of the present application have strong universality, and can simulate transmission lines of different tower types and different span distances; quantitative analysis results of the dynamic characteristic changes of the transmission tower line system can be obtained, and the influence of the tower line coupling effect is measured.
[0104] The embodiments of the present application provide a method for mode clustering analysis of a transmission tower line system, and the implementation steps are as follows:
[0105] Step 1: According to the construction drawing of the transmission tower of the actual transmission line, a finite element numerical analysis model of the transmission tower line is established; the dynamic characteristic analysis is performed on the transmission tower single tower numerical model without considering the conductor-ground wire, and the N t order natural frequency and mode of the transmission tower single tower in the demand range are calculated. Please refer to Figure 5 , Figure 5 is a schematic diagram of a typical mode of the transmission tower according to the embodiments of the present application.
[0106] Step two: Establish the wire and ground numerical model, determine the tower-line connection mode and boundary constraint conditions of the actual transmission line, constrain all degrees of freedom of the tower leg contact points of the numerical model of the transmission tower, constrain the corresponding degrees of freedom of the numerical model of the wire and ground at the end where the numerical model of the transmission tower is not arranged, and form the overall numerical model of the transmission line.
[0107] Step three: According to the topographic features and wind field characteristics of the actual transmission line, the random wind field is equivalent to static wind load on each wind point, and the balance state of the transmission tower line with different wire and ground tensions is formed.
[0108] Step four: The balance state of the transmission tower line with different wire and ground tensions in step three is regarded as different tower-line structures, and the dynamic characteristics are analyzed to calculate the natural frequency and mode shape in the demand range of the tower-line structure; the mode shape displacement values of the key nodes in the finite element model are automatically extracted by programming script and standardized processing.
[0109] Step five: Considering the vertical line direction and the line direction, the mode shape displacement data of a tower top center point, two wire hanger points of the ground wire and two wire hanger points of the side wire are extracted, the overall bending and torsion degree of the transmission tower mode shape is judged by programming script, and data sets Bend and Tor are formed. Please refer to Figure 6 , Figure 6 is the flow chart of the transmission tower mode shape overall bending and torsion judgment method in the transmission tower line system according to the embodiments of the application. First, define a as the proportion of deformation in the X direction and the Y direction, that is, a = |Top 1x | / |Top 1y |, which is used to judge the bending deformation degree. When a < 0.1 or a > 10, Bend i = 1, that is, the deformation in the X direction and the Y direction is different by an order of magnitude, which is regarded as existing bending in a single direction. When a < 0.1 or a > 10 is not satisfied, Bend i = 0, which is regarded as not existing bending in a single direction. Define b and c, b and c represent the deformation direction of the tower head node, b = sign|Top 2x |*sign|Top 3x |, c = sign|Top 4x |*sign|Top 5x |; when Top 2x and Top 3x deformation directions are different, b < 0, which is regarded as existing torsion. When Top 4x and Top 5x deformation directions are different, c < 0, which is regarded as existing torsion, then Tor i = 1; when b < 0 and c < 0 are not satisfied, Tor i= 0. Final output dataset Bend and Tor. Top 1x , Top 2x , Top 3x , Top 4x , Top 5x represent the mode displacement of the five tower head nodes in the X direction. Top 1y represents the mode displacement of the first tower head node in the Y direction.
[0110] Step six: use Q-type clustering method, through programming script to analyze the mode of tower-line system, according to the mode of single tower, divide it into N t +N a classes.
[0111] Step seven: through programming script, randomly extract the mode displacement value of the key cross diagonal material of Ns order mode, and the deformation state of the key cross diagonal material is in1, in2, out1, out2 four categories, as the test data of mode clustering, adjust the clustering result in step six to meet the classification requirements. Please refer to Figure 7 , Figure 7 is a schematic diagram of the deformation state of the cross diagonal material according to the embodiment of the application. Figure 7 1 is in1 state; 2 is in2 state; 3 is out1 state; 4 is out2 state.
[0112] Step eight: calculate and output the distribution interval Zonei and the principal component Frei frequency value of Nt+Na mode.
[0113] Step nine: repeat steps four to eight to complete the mode clustering analysis of each wind field condition, form the dataset Zone and Fre, output the classification number N t ,N n ,N tl ,N a and the key variable dataset Bend, Tor, Zone, Fre.
[0114] The above embodiment includes the finite element model of the transmission tower and the finite element model of the conductor and ground wire, the programming script which can automatically extract the mode displacement value of the key node in the finite element model, the programming script which can automatically judge the overall bending and torsion degree of the transmission tower mode, the programming script which can cluster analyze the mode of tower-line system, and the programming script which can randomly extract and check the mode classification.
[0115] The finite element model of the transmission tower and the finite element model of the conductor and ground wire in the above embodiment are the main structure of the scheme, and the number and tower type are not limited; the tower type includes but is not limited to dry pyramid, cat head tower, wine cup tower and other types of multi-bar space tower.
[0116] The wire and ground wire finite element model in the above embodiment considers deformation under the action of gravity; the method for establishing the initial wire and ground wire numerical model includes but is not limited to parabolic coordinate positioning method, catenary coordinate positioning method, etc.
[0117] The rod type of the transmission tower finite element model in the above embodiment includes but is not limited to angle steel member, circular tube member, and T-shaped combined member, Y-shaped combined member, cross-shaped combined member, double L-shaped combined member commonly used in in-situ reinforcement scheme, etc.
[0118] The number of the transmission tower finite element model in the above embodiment in the transmission line numerical model is unlimited, including but not limited to commonly used single-tower two-span line model, three-tower two-span line model, three-tower five-span line model, five-tower four-span line model, etc.
[0119] The wire and ground wire finite element model in the above embodiment includes but is not limited to ground wire finite element model and wire finite element model; the wire finite element model includes but is not limited to commonly used double split wire model, four split wire model, eight split wire model, etc.
[0120] The connection scheme of the transmission tower finite element model and the wire and ground wire finite element model in the above embodiment includes but is not limited to multi-point hinged connector connection, insulator numerical model connection, etc.
[0121] When the mode shape displacement values of the key nodes in the finite element model are automatically extracted by the programming script and standardized in the above embodiment, the standardization processing refers to taking the maximum mode shape displacement value in all node sets of the transmission tower as a reference, and excluding the influence of large deformation of the wire and ground wire on the relative deformation value of the transmission tower mode shape.
[0122] When the overall bending and torsion degree of the transmission tower mode shape is judged by the programming script in the above embodiment, the five tower head nodes refer to the highest point of a transmission tower, two wire hanging points of the same height of the ground wire support, and two edge wire hanging points of the same height.
[0123] When the overall bending and torsion degree of the transmission tower mode shape is judged by the programming script in the above embodiment, the overall bending judgment method is that when the mode shape displacement value in one direction is significantly larger than that in the other direction, it is considered that the transmission tower mode shape has overall bending.
[0124] When the overall bending and torsion degree of the transmission tower mode shape is judged by the programming script in the above embodiment, the overall torsion judgment method is that when the product of the mode shape displacement values of the two ground wire support wire hanging points or the mode shape displacement values of the two edge wire hanging points in the line direction is less than zero, and the deformation directions of the two points are opposite, it is considered that the transmission tower mode shape has overall torsion.
[0125] When the mode shape of the tower line system is clustered and analyzed by the programming script in the above embodiment, N tThe mode shape set corresponds to the N t order mode of the tower, where N a is the number of the mode shape set, and N t is the number of the mode shape.
[0126] In the above embodiment, the deformation state of the key cross diagonal member is summarized into four types of in1, in2, out1 and out2 by the programming script, where ini and outi respectively refer to the inward or outward displacement of the cross diagonal member mode relative to the tower facade, and i refers to the i-order bending deformation of the cross diagonal member mode.
[0127] Referring to Figure 8 , Figure 8 is a flowchart of the mode shape clustering analysis method of the power transmission tower-line system according to the embodiments of the present application. The mode shape clustering analysis method of the power transmission tower-line system comprises the following steps:
[0128] Step 1: Establish a numerical model of the power transmission tower, perform dynamic characteristic analysis on the numerical model of the power transmission tower, extract N t order mode shapes in a target frequency range, extract m node mode displacements, reduce the number of nodes to n by R-type clustering on the m node mode displacements, and determine a reduced node set N n .
[0129] Step 2: Establish a numerical model of the conductor and ground wire, and obtain an overall numerical model of the power transmission line according to the numerical model of the conductor and ground wire and the numerical model of the power transmission tower.
[0130] Step 3: Establish N w equivalent wind fields, and generate corresponding wind point wind loads on the overall numerical model of the power transmission line with wind.
[0131] Step 4: Perform dynamic characteristic analysis on the tower-line system, extract N tl order mode shapes in a target frequency range, and perform standardization processing on the obtained data.
[0132] Step 5: Extract the TOP j mode displacements of the tower head, j = 1, 2, …, 5, judge the overall bending / torsion, and form a variable set Bend, Tor.
[0133] Step 6: Extract the mode displacements of the nodes Node k , k ∈ N n , and perform Q-type clustering to classify N tl mode shapes into N t +N a .
[0134] Step 7: Judge the accuracy of the classification, correct the classification, and determine the distribution frequency interval Zone ni and the principal component frequency value Freni Final output: N t N n N tl N a Zone ni Fre ni Bend and Tor.
[0135] The embodiment of the present application provides a method for mode shape clustering analysis of a power transmission tower line system, on the basis of establishing a power transmission tower line finite element model, mode shape displacement values of key nodes in the model are automatically extracted and calculated by a script program, the overall bending and torsion degrees of power transmission tower modes are judged, and mode shape clustering analysis is performed on the tower line system, frequency distribution intervals and principal component frequency values of various modes are output, and influence of coupling effects on the tower line system is analyzed from the perspective of dynamic characteristics.
[0136] It should be noted that the steps shown in the above process or the flowchart of the accompanying drawings can be executed in a computer system such as a group of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that here.
[0137] The embodiment also provides a power transmission tower system mode shape clustering device, which is used for implementing the above-mentioned embodiments and preferred embodiments, and details are not repeated. As used below, the terms "module", "unit", "sub-unit" and the like can be a combination of software and / or hardware that implements a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware or a combination of software and hardware is also possible and is conceived.
[0138] Figure 9 is a structural block diagram of the power transmission tower system mode shape clustering device according to the embodiment of the present application, as shown in Figure 9 The device comprises an acquisition module 100, an analysis module 200, a calculation module 300 and a clustering module 400.
[0139] The acquisition module 100 is used for acquiring a power transmission tower system model, a power transmission tower node set and environmental characteristics.
[0140] The analysis module 200 is used for performing dynamic characteristic analysis on the power transmission tower system model according to the environmental characteristics, to obtain mode shape parameters of the power transmission tower system model.
[0141] The calculation module 300 is used for acquiring mode shape parameters corresponding to each node in the power transmission tower node set from the mode shape parameters of the power transmission tower system model.
[0142] The clustering module 400 is used for performing Q-type clustering on the mode shape parameters of each node to obtain mode shape classification.
[0143] The acquisition module 100 is also used to acquire the construction drawings of the transmission towers and the parameters of the conductors and ground wires of the actual transmission lines; to establish a transmission tower model based on the construction drawings of the transmission towers; to establish a conductor and ground wire model based on the conductor and ground wire parameters; and to obtain a transmission tower system model based on the transmission tower model and the conductor and ground wire model.
[0144] The acquisition module 100 is also used to determine the tower-line connection method and boundary constraints based on the transmission tower construction drawings; and to constrain the conductor ground wire model and the transmission tower model based on the tower-line connection method and boundary constraints to obtain the transmission tower system model.
[0145] The acquisition module 100 is also used to perform dynamic characteristic analysis on the transmission tower model that does not consider the conductor ground wire in the transmission tower model, and obtain the mode shape parameters of the corresponding single tower. The mode shape parameters of the single tower include the natural frequency and mode shape. The mode shape displacements of m nodes are extracted from the mode shape parameters of the single tower. The mode shape displacements of the m nodes are subjected to R-type clustering to reduce the number of nodes to n, and a node set of n nodes is obtained.
[0146] The analysis module 200 is also used to convert environmental features into static wind loads at various wind-applied points in the transmission tower system model, thereby obtaining the equilibrium state of the transmission tower system model; based on the tension of different conductors and ground wires in the transmission tower system model, it obtains the equilibrium states of multiple transmission tower system models; it performs dynamic characteristic analysis on the equilibrium states of multiple transmission tower system models, thereby obtaining multiple sets of mode shape parameters of the transmission tower system models; the mode shape parameters of the transmission tower system model include natural frequencies and mode shapes.
[0147] The calculation module 300 is also used to determine the mode shape parameters of key nodes in the transmission tower system model based on the mode shape parameters of the transmission tower system model, and to perform normalization processing; from the mode shape parameters of key nodes in the normalized transmission tower system model, the mode shape parameters of each node in the corresponding random node set of the transmission tower are obtained.
[0148] The calculation module 300 is also used to obtain the mode shape parameters of the tower head node from the mode shape parameters of the key nodes in the transmission tower system model; and to determine the bending data set and torsion data set of the transmission tower mode shape based on the mode shape parameters of the tower head node.
[0149] The transmission tower system vibration mode clustering device also includes: a verification module.
[0150] The verification module is used to obtain the mode shape parameters of the cross-bracing members from the mode shape parameters of the key nodes of the transmission tower system model; to perform state induction on the mode shape parameters of the cross-bracing members to obtain test cluster data; and to verify and adjust the mode shape classification based on the test cluster data until the preset conditions are met.
[0151] The calculation module 300 is also used to determine the distribution range of the vibration modes and the frequency values of the principal components based on the vibration mode classification.
[0152] The calculation module 300 is also used to perform cluster analysis on transmission tower system models with different environmental characteristics to obtain the vibration mode classification corresponding to the transmission tower system models under different environmental characteristics.
[0153] It should be noted that the above modules can be functional modules or program modules, and can be implemented through software or hardware. For modules implemented through hardware, the above modules can reside in the same processor; or the above modules can be located in different processors in any combination.
[0154] In addition, combined Figure 1 The coupling effect analysis method for transmission tower systems based on mode clustering described in this application can be implemented by computer equipment. Figure 10 This is a schematic diagram of the hardware structure of a computer device according to an embodiment of this application.
[0155] The computer device may include a processor 91 and a memory 92 storing computer program instructions.
[0156] Specifically, the processor 91 may include a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits that can be configured to implement the embodiments of this application.
[0157] The memory 92 can include a mass storage for data or instructions. By way of example, and without limitation, the memory 92 can include a hard disk drive (HDD), a floppy disk drive, a solid-state drive (SSD), a flash drive, a compact disc (CD) or DVD, a tape, a magnetic or optical or magneto-optical storage or a combination of two or more of these. The memory 92 can be removable and / or built-in (or fixed) where appropriate. The memory 92 can be internal or external at appropriate. In particular embodiments, the memory 92 is a nonvolatile memory. In particular embodiments, the memory 92 includes a Read-Only Memory (ROM) and a Random-Access Memory (RAM). Where appropriate, this ROM can be mask programmed ROM, Programmable ROM (PROM), Erasable Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), Electrically Alterable ROM (EAROM), or FLASH memory or a combination of two or more of these. Where appropriate, this RAM can be Static Random-Access Memory (SRAM) or Dynamic Random-Access Memory (DRAM), which can be Fast Page Mode Dynamic Random-Access Memory (FPMDRAM), Extended Data Output Dynamic Random-Access Memory (EDODRAM), Synchronous Dynamic Random-Access Memory (SDRAM), or the like.
[0158] The memory 92 can be used to store or buffer various data files needed for processing and / or communication, and possible computer program instructions executed by the processor 91.
[0159] The processor 91 realizes the mode-based vibration pattern clustering-based analysis method of the transmission tower system coupling effect in any of the above embodiments by reading and executing the computer program instructions stored in the memory 92.
[0160] In some embodiments, the computer device can further include a communication interface 93 and a bus 90. As shown, the processor 91, the memory 92, and the communication interface 93 are connected through the bus 90 and complete communication with each other. Figure 9
[0161] The communication interface 93 is used to realize the communication between the modules, devices, units and / or equipment in the embodiments of the present application. The communication interface 93 can also realize data communication with other components, such as external devices, image / data acquisition devices, databases, external storage, image / data processing workstations, etc.
[0162] Bus 90 includes hardware, software, or both, to couple components of the device to each other and to couple components to other devices. The bus 90 includes, for example, but is not limited to, at least one of a data bus, an address bus, a control bus, an expansion bus, a local bus, and the like. By way of example, and not limitation, bus 90 can include an Accelerated Graphics Port (AGP) or other graphics bus, an Extended Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a Hyper Transport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an InfiniBand (IB) interconnect, a Low Pin Count (LPC) bus, a memory bus, a Micro Channel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association local (VLB) bus, or the like. Bus 90 can include one or more buses according to appropriate standards, where appropriate. Although the application embodiments described and illustrated herein focus on particular buses and interconnects, the application contemplates any appropriate bus or interconnect.
[0163] The computer device can execute the mode shape clustering-based coupled effect analysis method of a power transmission tower system in the embodiments of the application based on the obtained computer instructions, thereby realizing the mode shape clustering-based coupled effect analysis method of a power transmission tower system in the embodiments of the application Figure 1 The mode shape clustering-based coupled effect analysis method of a power transmission tower system is described.
[0164] In addition, in combination with the mode shape clustering-based transmission tower system coupling effect analysis method in the above embodiments, an embodiment of the present application can provide a computer readable storage medium for implementation. The computer readable storage medium has computer program instructions stored thereon; the computer program instructions are executed by a processor to implement any one of the mode shape clustering-based transmission tower system coupling effect analysis methods in the above embodiments.
[0165] The above merely provides preferred embodiments of the present application and is not intended to limit the present application. For those skilled in the art, the present application can have various modifications and changes. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.
[0166] The above describes the specific embodiments of the present application in combination with the accompanying drawings, but is not intended to limit the protection scope of the present application. Those skilled in the art should understand that various modifications or changes made on the basis of the technical solutions of the present application without creative labor are still within the protection scope of the present application.
Claims
1. A method for analyzing the coupling effect of a power transmission tower system based on mode clustering, characterized in that, The method comprises the following steps: obtaining a power transmission tower system model, a power transmission tower node set and environmental characteristics; performing dynamic characteristic analysis on the power transmission tower system model according to the environmental characteristics to obtain mode shape parameters of the power transmission tower system model; in the mode shape parameters of the power transmission tower system model, mode shape parameters corresponding to each node in the power transmission tower node set are obtained; performing Q-type clustering on the mode shape parameters of the nodes to obtain mode shape classification; The power transmission tower system model is a three-dimensional model of a power transmission tower system constructed based on finite element software, the three-dimensional model constructed based on the finite element software can be endowed with mechanical characteristics, and the power transmission tower node set is a set of multiple nodes sampled in the power transmission tower system; the obtaining of the power transmission tower system model comprises: obtaining a power transmission tower construction drawing of an actual power transmission line and conductor and ground wire parameters; establishing a power transmission tower model according to the power transmission tower construction drawing; establishing a conductor and ground wire model according to the conductor and ground wire parameters; obtaining the power transmission tower system model according to the power transmission tower model and the conductor and ground wire model; The obtaining of the power transmission tower node set comprises: performing dynamic characteristic analysis on a power transmission tower model without considering the conductor and ground wire in the power transmission tower system model to obtain mode shape parameters of a corresponding single tower; the mode shape parameters of the single tower comprise natural frequencies and mode shapes; mode shape displacements of m nodes are extracted from the mode shape parameters of the single tower; performing R-type clustering on the mode shape displacements of the m nodes to reduce the number of nodes to n and obtain a node set of the n nodes.
2. The power transmission tower system coupling effect analysis method based on mode shape clustering according to claim 1, wherein: The obtaining of the power transmission tower system model according to the power transmission tower model and the conductor and ground wire model comprises: determining a tower-conductor connection mode and boundary constraint conditions according to the power transmission tower construction drawing; constraining the conductor and ground wire model and the power transmission tower model according to the tower-conductor connection mode and the boundary constraint conditions to obtain the power transmission tower system model.
3. The power transmission tower system coupling effect analysis method based on mode shape clustering according to claim 1, wherein: The environmental characteristics comprise topographic features and wind field characteristics; the environmental characteristics are equivalent to static wind load on each wind loading point in the power transmission tower system model to obtain a balance state of the power transmission tower system model; a plurality of balance states of the power transmission tower system model are obtained according to tensions of different conductors and ground wires in the power transmission tower system model; dynamic characteristic analysis is performed on the plurality of balance states of the power transmission tower system model to obtain a plurality of groups of mode shape parameters of the power transmission tower system model; the mode shape parameters of the power transmission tower system model comprise natural frequencies and mode shapes.
4. The power transmission tower system coupling effect analysis method based on mode shape clustering according to claim 1, wherein: The obtaining of mode shape parameters corresponding to each node in the power transmission tower node set from the mode shape parameters of the power transmission tower system model comprises: determining mode shape parameters of key nodes in the power transmission tower system model according to the mode shape parameters of the power transmission tower system model and performing normalization processing. In the mode shape parameters of the key nodes of the normalized power transmission tower system model, the mode shape parameters corresponding to each node in the random node set of the power transmission tower are obtained.
5. The mode shape clustering-based coupling effect analysis method of a power transmission tower system according to claim 1, characterized in that: The method further comprises: in the mode shape parameters of the key nodes of the power transmission tower system model, the mode shape parameters of the tower head nodes are obtained; According to the mode shape parameters of the tower head nodes, the bending data set and the torsion data set of the power transmission tower mode shape are determined.
6. The method for coupled effect analysis of a power transmission tower system based on mode clustering according to claim 1, wherein: The method further comprises: in the mode shape parameters of the key nodes of the power transmission tower system model, the mode shape parameters of the cross diagonal members are obtained; The state induction is performed on the mode shape parameters of the cross diagonal members to obtain the test clustering data; According to the test clustering data, the mode shape classification is adjusted until the preset condition is met.
7. The method of claim 1, wherein the method is characterized by: The method further comprises: according to the mode shape classification, the distribution interval and the principal component frequency value of the mode shape are determined.
8. The method for coupled effect analysis of a power transmission tower system based on mode clustering according to claim 1, wherein: The method further comprises: the power transmission tower system models under different environmental characteristics are subjected to clustering analysis to obtain the mode shape classification corresponding to the power transmission tower system model under different environmental characteristics.
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