A method and apparatus for parametrically simulating the site layout of a power transmission line catenary field

Abstract

The application discloses a parameterized power transmission line tension field site arrangement simulation method and equipment, combines an interpolation method and a shape finding analysis method to perform structural characterization on extracted nodes, and performs parameterized modeling according to the characterized structure, and further obtains a tension field site model, the tension field site model accurately feeds back the shape of the tension field, and meanwhile, accurately feeds back the interaction relationship between each machine and each structure, provides an accurate, stable and consistent tension field site model with a construction site for subsequent tension field site simulation; arrangement simulation parameters after construction verification are input into a tension field site migration model again for cyclic processing until optimal arrangement simulation parameters are generated, the optimal arrangement simulation parameters are used as optimal tension field site construction parameters and are subjected to construction, and the problems that local engineering calculation is performed on the parameters by means of manual work, the calculation result is not standardized, and meanwhile, the positions of dangerous points in the tension field site arrangement cannot be accurately estimated are solved.

Description

Technical Field

[0001] This invention relates to the field of transmission line tension field technology, specifically to a parametric method and equipment for simulating the layout of transmission line tension fields. Background Technology

[0002] In the field of power construction, the construction of transmission lines is a crucial step, and its quality and efficiency directly affect the stability and economy of the entire power grid. Especially during the tension erection of transmission lines, the site layout of the tensioning area plays a pivotal role. However, traditional construction methods have significant problems in this critical stage.

[0003] For a long time, the tensioning of transmission lines has relied heavily on experience-based manual calculations and manual pole placement. This manual calculation method is not only inefficient, but also has significant limitations due to its over-reliance on experience. On the one hand, manual calculation reduces the efficiency of calculations, and its reliance on experience limits the tensioning of transmission lines. On the other hand, the manual spatial layout of the tensioning field often fails to achieve an optimal spatial arrangement across the entire section, leading to unreasonable spatial layout, economic losses, and safety hazards during transmission line construction.

[0004] Empirical calculation methods are often ill-suited to complex and ever-changing construction environments, thus limiting the accuracy and flexibility of tension erection. Furthermore, the manual spatial layout of the tensioning field also presents numerous problems. The lack of scientific and systematic spatial planning not only leads to wasted space and increased construction costs but may also cause safety hazards due to an unreasonable spatial arrangement.

[0005] In view of the above problems, there is an urgent need for a more scientific and efficient method for the layout of transmission line tension fields. This method needs to overcome the limitations of manual calculation and artificial spatial layout of tension fields, providing a parametric simulation tool to achieve accurate calculation and optimal planning of the site layout. This method can not only improve construction efficiency and reduce resource waste, but also more accurately assess potential hazards in the layout of tension fields, thereby ensuring the safety and reliability of construction.

[0006] Therefore, there is an urgent need to develop a parameterized simulation method for the layout of tension field in transmission lines to solve the problem that manual calculation of parameters for local engineering is not standardized and cannot accurately estimate the location of dangerous points in the layout of tension field. Summary of the Invention

[0007] Based on the problems mentioned above, the purpose of this invention is to provide a parameterized method for simulating the layout of tension field in transmission lines. This method solves the problem that manual calculation of parameters for local engineering purposes yields non-standard results and cannot accurately estimate the location of dangerous points in the layout of the tension field.

[0008] This invention is achieved through the following technical solution:

[0009] The first aspect of this invention provides a method for simulating the site layout of a parameterized transmission line tension field, comprising the following steps:

[0010] Step S1: Use BIM technology to extract nodes from the tension field, and combine interpolation and form-finding analysis to build a model of the extracted nodes to obtain the tension field model.

[0011] Step S2: Obtain geographic information and environmental data of the construction site through GIS technology, and use the geographic information and environmental data to extract parameters from the tension field site model to obtain correlation feature parameters;

[0012] Step S3: Migrate the tension field site model to generate a tension field site migration model. Input the correlation feature parameters into the tension field site migration model for cyclic layout simulation to obtain the optimal tension field site construction parameters.

[0013] In the above technical solution, nodes are extracted from the tension field, and parametric modeling is performed based on these nodes. To ensure the accuracy of the tension field model, this method combines interpolation and form-finding analysis to structurally characterize the extracted nodes, and then performs parametric modeling based on the characteristic structures to obtain the tension field model. This tension field model accurately reflects the shape of the tension field and also accurately reflects the interaction relationships between various machines and structures, providing an accurate, stable, and construction site-consistent tension field model for subsequent tension field simulation.

[0014] GIS technology is used to acquire geographic and environmental data, including topographic elevation, slope, soil type, and meteorological data. However, not all acquired geographic and environmental data is relevant to the layout of the tension field. Furthermore, the influencing factors for each tension field layout are not entirely the same, and the degree of influence of geographic and environmental factors on the specific construction site's tension field layout is also not entirely the same. Therefore, after acquiring the geographic and environmental data, it is necessary to use this data to extract parameters from the specific tension field model, identify the influencing factors highly correlated with the model, and ultimately generate relevant characteristic parameters.

[0015] After obtaining the relevant characteristic parameters of a specific project, the original tension field site model is selectively migrated to obtain a tension field site migration model. This model strengthens the structural features of the tension field that are highly correlated with the characteristics of the construction site, while weakening some less correlated features, thus enabling focused analysis of the tension field site. The relevant characteristic parameters are input into the tension field site migration model for layout simulation. The parameters obtained from the layout simulation are then verified through construction. The verified layout simulation parameters are then input back into the tension field site migration model for iterative processing until the optimal layout simulation parameters are generated. These optimal layout simulation parameters are then used as the optimal construction parameters for the tension field site and construction is carried out accordingly.

[0016] In one optional embodiment, BIM technology is used to extract nodes from the tension field, and interpolation and form-finding analysis are combined to build a model of the extracted nodes, including the following steps:

[0017] Step S11: Use BIM technology to extract key nodes from the tension field and obtain key node information;

[0018] Step S12: Calculate the residual values ​​of the key node information using cross-validation.

[0019] Step S13: Use the residual value to perform spatial trend analysis on the key node information corresponding to the residual value to obtain the spatial trend distribution of the key node information;

[0020] Step S14: Perform form-finding analysis on the key node information to obtain the force-variance information of the key nodes;

[0021] Step S15: Based on the combined force variation information of the key nodes and the spatial trend distribution of the key node information, a model is established for the key nodes to obtain the tension field model.

[0022] In one optional embodiment, parameter extraction of the tension field site model is performed using the geographic information and the environmental data, including:

[0023] Step S21: Use the geographic information and the environmental data as the first parameter extraction layer, and use the tension field site model as the second parameter extraction layer;

[0024] Step S22: Calculate the change index of the second parameter extraction layer under the influence of the first parameter extraction layer;

[0025] Step S23: Select correlation parameters from the first parameter extraction layer as the third parameter extraction layer based on the change index;

[0026] Step S24: Calculate the correlation index between each model node in the third parameter extraction layer and the second parameter extraction layer;

[0027] Step S25: Select correlation feature parameters from the third parameter extraction layer using the correlation index, and associate the correlation feature parameters with the corresponding model nodes.

[0028] In an optional embodiment, each model node in the second parameter extraction layer includes: a tensioning vehicle model node and a traction rope model node; calculating the correlation index between the third parameter extraction layer and each model node in the second parameter extraction layer includes:

[0029] Calculate the influence index of the correlation parameters in the third parameter extraction layer on the exit tension and traction force of the tensioning vehicle model nodes;

[0030] The correlation index of the tensioning vehicle node model is obtained by comprehensively calculating the outlet tension influence index and the traction force influence index.

[0031] Calculate the influence of the correlation parameters in the third parameter extraction layer on the traction rope model node under the influence of the outlet tension index and the influence of the traction force index, the influence index of the traction rope force, and the influence index of the traction rope horizontal tension.

[0032] The influence index of the traction rope force, the influence index of the traction rope traction force, and the influence index of the traction rope horizontal tension are comprehensively calculated to obtain the traction rope model node correlation index.

[0033] In an optional embodiment, the calculation of the influence index of the correlation parameters in the third parameter extraction layer on the exit tension and traction force of the tensioning vehicle model nodes includes:

[0034]

[0035] In the above formula, For the first The influence index of the correlation parameters on the exit tension of the tensioning machine model nodes. For the first The influence index of the correlation parameters on the traction force of the tensioning vehicle model nodes. The weight of the tension line between the tension cars, To accommodate the height difference of the attachment point of the towing vehicle, To control the gear intervals of the tensioning machine, The vertical distance to the nearest hanging point. The safe distance from the nearest hanging point. For the angle of difference in elevation between the hanging points, For the first Friction under the gear, For the first One correlation parameter, To shift the gears of the car, The stress at the lowest point of the sag. For comparison, is the coefficient of linear expansion.

[0036] In an optional embodiment, the calculation of the correlation parameters in the third parameter extraction layer on the traction rope model node under the influence of the outlet tension index and the influence of the traction force index includes:

[0037]

[0038] In the above formula, The force-affected index of the traction rope. The index representing the influence of traction force on the traction rope. The index representing the influence of horizontal tension on the traction rope. The cross-sectional area of ​​the traction rope. For Young's modulus, This is the elongation of the traction rope. This is the cross-sectional area of ​​the traction rope in the horizontal direction.

[0039] In one optional embodiment, the tension field site model is migrated to generate a tension field site migration model, and the correlation feature parameters are input into the tension field site migration model for cyclic layout simulation, including:

[0040] Step S31: Transfer the tensioning field model to a tensioning vehicle model, a tensioning field model, and a traction rope model;

[0041] Step S32: Input the correlation feature parameters into the corresponding tensioning vehicle model, tensioning field model and traction rope model for layout simulation to obtain the tensioning field construction parameters.

[0042] A second aspect of the present invention provides a parameterized transmission line tension field layout simulation system, comprising:

[0043] The model building module is used to extract nodes from the tension field using BIM technology, and to build a model of the extracted nodes by combining interpolation and form-finding analysis methods to obtain the tension field model.

[0044] The correlation calculation module is used to acquire geographic information and environmental data of the construction site through GIS technology, and to extract parameters from the tension field site model using the geographic information and environmental data to obtain correlation feature parameters.

[0045] The layout simulation module is used to migrate the tension field site model, generate a tension field site migration model, and input the correlation feature parameters into the tension field site migration model for cyclic layout simulation to obtain the optimal tension field site construction parameters.

[0046] A third aspect of the present invention provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement a parameterized method for simulating the site layout of a transmission line tension field.

[0047] The fourth aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements a method for simulating the site layout of a parameterized transmission line tension field.

[0048] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0049] 1. The extracted nodes are characterized by combining interpolation and shape-finding analysis, and parametric modeling is performed based on the characterized structure to obtain the tension field model. This tension field model accurately reflects the shape of the tension field and also accurately reflects the interaction between various machines and structures, providing an accurate, stable tension field model consistent with the construction site for subsequent tension field simulation.

[0050] 2. The correlation characteristic parameters are input into the tension field site migration model for layout simulation. The parameters obtained from the layout simulation are then verified by construction. The layout simulation parameters after construction verification are then input back into the tension field site migration model for iterative processing until the optimal layout simulation parameters are generated. The optimal layout simulation parameters are then used as the optimal tension field site construction parameters and construction is carried out. This solves the problem that manual calculation of parameters for local engineering is not standardized and cannot accurately estimate the location of dangerous points in the tension field site layout. Attached Figure Description

[0051] To more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly described below. It should be understood that the following drawings only show some embodiments of the present invention and should not be considered as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort. In the drawings:

[0052] Figure 1 This is a flowchart illustrating a parameterized method for simulating the layout of a tension field for a transmission line, as provided in Embodiment 1 of the present invention.

[0053] Figure 2 This is a schematic diagram of the structure of the tension zone in the tension field provided in Embodiment 1 of the present invention;

[0054] Figure 3 This is a schematic diagram of a parametric transmission line tension field layout simulation system provided in Embodiment 2 of the present invention;

[0055] Figure 4 This is a schematic diagram of the structure of an electronic device provided in Embodiment 3 of the present invention. Detailed Implementation

[0056] To make the objectives, technical solutions, and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the embodiments and accompanying drawings. The illustrative embodiments and descriptions of the present invention are only used to explain the present invention and are not intended to limit the present invention.

[0057] Example 1

[0058] Figure 1 This is a flowchart illustrating a parameterized method for simulating the layout of a tension field in a transmission line, as provided in Embodiment 1 of the present invention. Figure 1 As shown, a parameterized method for simulating the site layout of a transmission line tension field includes the following steps:

[0059] Step S1: Use BIM technology to extract nodes from the tension field, and combine interpolation and form-finding analysis to build a model of the extracted nodes to obtain the tension field model.

[0060] Step S2: Obtain geographic information and environmental data of the construction site through GIS technology, and use the geographic information and environmental data to extract parameters from the tension field site model to obtain correlation feature parameters;

[0061] Step S3: Migrate the tension field site model to generate a tension field site migration model. Input the correlation feature parameters into the tension field site migration model for cyclic layout simulation to obtain the optimal tension field site construction parameters.

[0062] It should be noted that a crucial step in the parametric simulation of the tension field layout for transmission lines is model building based on the tension field site. BIM (Building Information Modeling) technology is a technique for creating three-dimensional building models based on three-dimensional digital models. This method uses BIM technology to build the model to simulate the actual tension field site. The tension field site is as follows: Figure 2As shown, tensioning machines are deployed at power construction sites. Sometimes, tensioning areas also contain wire reels, tensioning winches, and machines arranged in the inner corners. When arranging the tensioning area, it is necessary to avoid mutual intersections and pay attention to safety distances. Therefore, this method requires node extraction of the tensioning area and parametric modeling based on the nodes. To ensure the accuracy of the tensioning area model, this method combines interpolation and form-finding analysis to perform structural featureization on the extracted nodes, and then performs parametric modeling based on the featured structure to obtain the tensioning area model. This tensioning area model accurately reflects the shape of the tensioning area and also accurately reflects the interaction relationships between various machines and structures, providing an accurate, stable, and construction site-consistent tensioning area model for subsequent tensioning area simulation.

[0063] The tensioning machine experiences significant stress, requiring high-quality ground anchors. The distance between the tensioning machine and the tower needs to be limited; for example, too close a distance can cause an excessive angle between the traction machine's inlet line or the tensioner's outlet line and the ground, thus reducing the effectiveness of the tensioning action. These are all points to consider when arranging the tensioning yard. Currently, the tensioning of transmission lines relies heavily on experience-based manual calculations and wiring for the spatial layout of the tensioning yard. This leads to wasted space, increased construction costs, and potential safety hazards due to an unreasonable spatial layout. Furthermore, the site environment of the transmission line construction site significantly impacts the layout of the tensioning yard. Geographical information such as slope and soil type, as well as environmental data like weather conditions, greatly influence the placement and fixing position of the tensioning machine.

[0064] Based on this, this method uses GIS (Geographic Information System) technology to acquire geographic information and environmental data of the construction site, building upon the tension field site model. GIS is a spatial information technology that can collect data on geographic distribution in space. In this method, GIS technology is used to acquire geographic information and environmental data, including topographic elevation, slope, soil type, and meteorological data. However, not all acquired geographic information and environmental data are relevant to the tension field layout. Furthermore, the influencing factors for each tension field layout are not entirely the same, and the degree of influence of geographic information and environmental factors on the specific tension field layout at each construction site is also not entirely the same. Therefore, after acquiring the geographic information and environmental data, it is necessary to use this data to extract parameters from the specific tension field site model, identifying the influencing factors with high correlation to the model, and ultimately generating correlation feature parameters.

[0065] After obtaining the relevant characteristic parameters of a specific project, the original tension field site model is selectively migrated to obtain a tension field site migration model. This model strengthens the structural features of the tension field that are highly correlated with the characteristics of the construction site, while weakening some less correlated features, thus enabling focused analysis of the tension field site. The relevant characteristic parameters are input into the tension field site migration model for layout simulation. The parameters obtained from the layout simulation are then verified through construction. The verified layout simulation parameters are then input back into the tension field site migration model for iterative processing until the optimal layout simulation parameters are generated. These optimal layout simulation parameters are then used as the optimal construction parameters for the tension field site and construction is carried out accordingly.

[0066] In one optional embodiment, BIM technology is used to extract nodes from the tension field, and interpolation and form-finding analysis are combined to build a model of the extracted nodes, including the following steps:

[0067] Step S11: Use BIM technology to extract key nodes from the tension field and obtain key node information;

[0068] Step S12: Calculate the residual values ​​of the key node information using cross-validation.

[0069] Step S13: Use the residual value to perform spatial trend analysis on the key node information corresponding to the residual value to obtain the spatial trend distribution of the key node information;

[0070] Step S14: Perform form-finding analysis on the key node information to obtain the force-variance information of the key nodes;

[0071] Step S15: Based on the combined force variation information of the key nodes and the spatial trend distribution of the key node information, a model is established for the key nodes to obtain the tension field model.

[0072] It should be noted that BIM technology is used to perform a detailed scan and analysis of the tensioning field site to extract key node information. These nodes include terrain change points, structural support points, and load application points. In this embodiment, the key node information includes key node information of the tensioning vehicle, site node information of the tensioning field, and traction rope node information, providing basic data for subsequent model building. The purpose of this step is to obtain structural node information such as objects and terrain that need to be analyzed in the tensioning field to facilitate subsequent model building and analysis. Cross-validation is used to calculate the difference between the predicted value and the actual observed value of each node to obtain residual values. Spatial trend analysis is then performed using the residual values ​​to determine the spatial distribution trend of key node information.

[0073] Specifically, the analysis process for spatial trend distribution includes: using regression analysis and least-squares fitting of a nonlinear function to simulate the spatial distribution and trend of the tensioning vehicle, tensioning field, and traction rope structure. Simultaneously, the nonlinear function fitted during the trend process is examined to ensure the correlation between key nodes. Three multinomial trend surface analyses are performed on the fitted nonlinear function during the trend process using the search value, smoothing factor, and error value to observe the influence of the search value and smoothing factor on interpolation accuracy from the perspective of continuous spatial variation.

[0074] Furthermore, after analyzing the spatial trend distribution of each key node using interpolation, a preliminary model of the tensioning field can be obtained. However, this preliminary model only reflects structural information and cannot reflect the stress and deformation of the structure. During the operation of the tensioning vehicle, the tensioning vehicle, the tensioning field, and the traction rope will bear certain pressures due to the forces exerted during construction, resulting in force changes. Therefore, this embodiment needs to perform form-finding analysis on the key node information to obtain the force changes of the key nodes, and then construct the tensioning field model required in this embodiment by combining the spatial trend distribution and force changes.

[0075] In one optional embodiment, parameter extraction of the tension field site model is performed using the geographic information and the environmental data, including:

[0076] Step S21: Use the geographic information and the environmental data as the first parameter extraction layer, and use the tension field site model as the second parameter extraction layer;

[0077] Step S22: Calculate the change index of the second parameter extraction layer under the influence of the first parameter extraction layer;

[0078] Step S23: Select correlation parameters from the first parameter extraction layer as the third parameter extraction layer based on the change index;

[0079] Step S24: Calculate the correlation index between each model node in the third parameter extraction layer and the second parameter extraction layer;

[0080] Step S25: Select correlation feature parameters from the third parameter extraction layer using the correlation index, and associate the correlation feature parameters with the corresponding model nodes.

[0081] It should be noted that the purpose of calculating the change index is to identify parameters that influence each node of the tension field site model. For example, terrain affects the tension field and tensioning vehicle in the tension field site model, but its impact on the traction rope is relatively small. Therefore, during the screening process in this step, terrain will be removed from the correlation options of the traction rope module, and only retained in the tensioning vehicle and tension field modules. Similarly, this applies to other geographic information and environmental data; this is the interaction between the first parameter extraction layer and the second parameter extraction layer.

[0082] Factors with a non-zero change index are extracted to the third parameter extraction layer to facilitate interaction between the second and third parameter extraction layers. The purpose of this interaction is to extract the correlation between influencing factors and each model node, such as the impact and degree of influence of wind, ice, and lightning strikes on the traction force of the traction rope.

[0083] In an optional embodiment, each model node in the second parameter extraction layer includes: a tensioning vehicle model node and a traction rope model node; calculating the correlation index between the third parameter extraction layer and each model node in the second parameter extraction layer includes:

[0084] Calculate the influence index of the correlation parameters in the third parameter extraction layer on the exit tension and traction force of the tensioning vehicle model nodes;

[0085] The correlation index of the tensioning vehicle node model is obtained by comprehensively calculating the outlet tension influence index and the traction force influence index.

[0086] Calculate the influence of the correlation parameters in the third parameter extraction layer on the traction rope model node under the influence of the outlet tension index and the influence of the traction force index, the influence index of the traction rope force, and the influence index of the traction rope horizontal tension.

[0087] The influence index of the traction rope force, the influence index of the traction rope traction force, and the influence index of the traction rope horizontal tension are comprehensively calculated to obtain the traction rope model node correlation index.

[0088] Furthermore, each model node in the second parameter extraction layer also includes a tension field model node; calculating the correlation index between each model node in the third parameter extraction layer and the second parameter extraction layer further includes:

[0089] Calculate the influence index of the correlation parameters in the third parameter extraction layer on the positional safety of the nodes in the tension field site model and the ground anchor stability index;

[0090] The location safety impact index and the ground anchor stability index are combined to obtain the tension field site model correlation index.

[0091] In an optional embodiment, the calculation of the influence index of the correlation parameters in the third parameter extraction layer on the exit tension and traction force of the tensioning vehicle model nodes includes:

[0092]

[0093] In the above formula, For the first The influence index of the correlation parameters on the exit tension of the tensioning machine model nodes. For the first The influence index of the correlation parameters on the traction force of the tensioning vehicle model nodes. The weight of the tension line between the tension cars, To accommodate the height difference of the attachment point of the towing vehicle, To control the gear intervals of the tensioning machine, The vertical distance to the nearest hanging point. The safe distance from the nearest hanging point. For the angle of difference in elevation between the hanging points, For the first Friction under the gear, For the first One correlation parameter, To shift the gears of the car, The stress at the lowest point of the sag. For comparison, is the coefficient of linear expansion.

[0094] In an optional embodiment, the calculation of the correlation parameters in the third parameter extraction layer on the traction rope model node under the influence of the outlet tension index and the influence of the traction force index includes:

[0095]

[0096] In the above formula, The force-affected index of the traction rope. The index representing the influence of traction force on the traction rope. The index representing the influence of horizontal tension on the traction rope. The cross-sectional area of ​​the traction rope. For Young's modulus, This is the elongation of the traction rope. This is the cross-sectional area of ​​the traction rope in the horizontal direction.

[0097] In this embodiment, the purpose of calculating the outlet tension influence index, traction force influence index, traction rope force influence index, traction rope traction force influence index, and traction rope horizontal tension influence index is to perform calculations based on the force judgment nodes during the tensioning process of the tensioning car and tensioning field. The tensioning calculation is a hierarchical calculation process, mainly divided into three parts. The first part is the calculation of the tensioning car and tensioning field. In this calculation process, it is necessary to calculate the outlet tension of the tensioning car and then determine the placement position of the tensioning car based on the outlet tension. The second part is the selection of the traction rope. In this part, the force, traction force, and horizontal tension of the traction rope are mainly referenced to determine whether the selection of the traction rope is reasonable. The above three indicators are affected by the traction force and outlet tension parameters. Therefore, in this embodiment, it is necessary to calculate the degree of influence of each related parameter on the three indicators under their influence. The last part is the output judgment, which is calculated based on the outlet tension, traction rope force conditions, and tensioning field layout obtained above. This part needs to be calculated in the tensioning field site migration model.

[0098] Furthermore, the tension field site model is transferred to generate a tension field site migration model. The correlation feature parameters are input into the tension field site migration model for cyclic layout simulation, including:

[0099] The tensioning field model is divided into three parts for transfer: the tensioning vehicle, the tensioning field itself, and the traction rope. Then, the correlation feature parameters associated with the corresponding model nodes are input into the corresponding transfer model for block simulation. The results of the block simulation are then used for interactive simulation to finally generate simulation parameters.

[0100] The simulation parameters are tested. If the test fails, the parameters are adjusted and then input into the migration model for recalculation until the optimal parameters are generated.

[0101] Example 2

[0102] Figure 3 This is a schematic diagram of the structure of a parameterized transmission line tension field layout simulation system provided in Embodiment 2 of the present invention, as shown below. Figure 3 As shown, a parametric transmission line tension field layout simulation system includes:

[0103] The model building module is used to extract nodes from the tension field using BIM technology, and to build a model of the extracted nodes by combining interpolation and form-finding analysis methods to obtain the tension field model.

[0104] The correlation calculation module is used to acquire geographic information and environmental data of the construction site through GIS technology, and to extract parameters from the tension field site model using the geographic information and environmental data to obtain correlation feature parameters.

[0105] The layout simulation module is used to migrate the tension field site model, generate a tension field site migration model, and input the correlation feature parameters into the tension field site migration model for cyclic layout simulation to obtain the optimal tension field site construction parameters.

[0106] Example 3

[0107] Figure 4 This is a schematic diagram of the structure of an electronic device provided in Embodiment 3 of the present invention, as shown below. Figure 4 As shown, the electronic device includes a processor 21, a memory 22, an input device 23, and an output device 24; the number of processors 21 in the computer device can be one or more. Figure 4 Taking a processor 21 as an example; the processor 21, memory 22, input device 23, and output device 24 in an electronic device can be connected via a bus or other means. Figure 4 Taking the example of a connection between China and Israel via a bus.

[0108] The memory 22, as a computer-readable storage medium, can be used to store software programs, computer-executable programs, and modules. The processor 21 executes various functional applications and data processing of the electronic device by running the software programs, instructions, and modules stored in the memory 22, thereby implementing the parameterized transmission line tension field site layout simulation method of Embodiment 1.

[0109] The memory 22 may primarily include a program storage area and a data storage area. The program storage area may store the operating system and at least one application program required for a given function; the data storage area may store data created based on terminal usage. Furthermore, the memory 22 may include high-speed random access memory and non-volatile memory, such as at least one disk storage device, flash memory, or other non-volatile solid-state storage device. In some instances, the memory 22 may further include memory remotely located relative to the processor 21, which can be connected to the electronic device via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0110] Input device 23 can be used to receive user input such as ID and password. Output device 24 is used to output the network configuration page.

[0111] Example 4

[0112] Embodiment 4 of the present invention also provides a computer-readable storage medium, wherein the computer-executable instructions, when executed by a computer processor, are used to implement a parameterized transmission line tension field site layout simulation method as provided in Embodiment 1.

[0113] The storage medium containing computer-executable instructions provided in the embodiments of the present invention is not limited to the method operation provided in Embodiment 1, but can also perform related operations in the parameterized transmission line tension field site layout simulation method provided in any embodiment of the present invention.

[0114] 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 description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. 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.

Claims

1. A method for simulating the site layout of a parametric transmission line tension field, characterized in that, Includes the following steps: Step S1: Use BIM technology to extract nodes from the tension field, and combine interpolation and form-finding analysis to build a model of the extracted nodes to obtain the tension field model. Step S2: Obtain geographic information and environmental data of the construction site through GIS technology, and use the geographic information and environmental data to extract parameters from the tension field site model to obtain correlation feature parameters; Step S3: Migrate the tension field site model to generate a tension field site migration model. Input the correlation feature parameters into the tension field site migration model to perform cyclic layout simulation to obtain the optimal tension field site construction parameters. The BIM technology was used to extract nodes from the tension field, and the extracted nodes were modeled using interpolation and form-finding analysis methods. The steps included: Step S11: Use BIM technology to extract key nodes from the tension field and obtain key node information; Step S12: Calculate the residual values ​​of the key node information using cross-validation. Step S13: Use the residual value to perform spatial trend analysis on the key node information corresponding to the residual value to obtain the spatial trend distribution of the key node information; Step S14: Perform form-finding analysis on the key node information to obtain the force-variance information of the key nodes; Step S15: Based on the combined force variation information of the key nodes and the spatial trend distribution of the key node information, a model is established for the key nodes to obtain the tension field model. Parameter extraction of the tension field site model using the geographic information and environmental data includes: Step S21: Use the geographic information and the environmental data as the first parameter extraction layer, and use the tension field site model as the second parameter extraction layer; Step S22: Calculate the change index of the second parameter extraction layer under the influence of the first parameter extraction layer; Step S23: Select correlation parameters from the first parameter extraction layer as the third parameter extraction layer based on the change index; Step S24: Calculate the correlation index between each model node in the third parameter extraction layer and the second parameter extraction layer; Step S25: Select correlation feature parameters from the third parameter extraction layer using the correlation index, and associate the correlation feature parameters with the corresponding model nodes; The tension field site model is transferred to generate a tension field site migration model. The correlation feature parameters are input into the tension field site migration model for cyclic layout simulation, including: Step S31: Transfer the tensioning field model to a tensioning vehicle model, a tensioning field model, and a traction rope model; Step S32: Input the correlation feature parameters into the corresponding tensioning vehicle model, tensioning field model and traction rope model for layout simulation to obtain the tensioning field construction parameters.

2. The method for simulating the site layout of a parametric transmission line tension field according to claim 1, characterized in that, The model nodes in the second parameter extraction layer include: tensioning vehicle model nodes and traction rope model nodes; the correlation index between the third parameter extraction layer and each model node in the second parameter extraction layer is calculated, including: Calculate the influence index of the correlation parameters in the third parameter extraction layer on the exit tension and traction force of the tensioning vehicle model nodes; The correlation index of the tensioning vehicle node model is obtained by comprehensively calculating the outlet tension influence index and the traction force influence index. Calculate the influence of the correlation parameters in the third parameter extraction layer on the traction rope model node under the influence of the outlet tension index and the influence of the traction force index, the influence index of the traction rope force, and the influence index of the traction rope horizontal tension. The influence index of the traction rope force, the influence index of the traction rope traction force, and the influence index of the traction rope horizontal tension are comprehensively calculated to obtain the traction rope model node correlation index.

3. The method for simulating the site layout of a parametric transmission line tension field according to claim 2, characterized in that, The calculation of the influence index of the correlation parameters in the third parameter extraction layer on the exit tension and traction force of the tensioning vehicle model nodes includes: In the above formula, For the first The influence index of the correlation parameters on the exit tension of the tensioning machine model nodes. For the first The influence index of the correlation parameter on the traction force of the tensioning vehicle model node. The weight of the tension line between the tension cars, To accommodate the height difference of the attachment point of the towing vehicle, To control the gear spacing of the tensioning machine, The vertical distance to the nearest hanging point. The safe distance from the nearest hanging point. For the angle of difference in elevation between the hanging points, For the first The friction force that is blocked For the first One correlation parameter, To engage the gear of the tensioner, The stress at the lowest point of the sag. For comparison, is the coefficient of linear expansion.

4. The method for simulating the site layout of a parametric transmission line tension field according to claim 3, characterized in that, The calculation of the correlation parameters in the third parameter extraction layer on the traction rope model node under the influence of the outlet tension index and the traction force index includes: In the above formula, The force-affected index of the traction rope. The index representing the influence of traction force on the traction rope. The index representing the influence of horizontal tension on the traction rope. The cross-sectional area of ​​the traction rope. For Young's modulus, This is the elongation of the traction rope. This is the cross-sectional area of ​​the traction rope in the horizontal direction.

5. A parameterized simulation system for the layout of tension fields in transmission lines, characterized in that, include: The model building module is used to extract nodes from the tension field using BIM technology, and to build a model of the extracted nodes by combining interpolation and form-finding analysis methods to obtain the tension field model. The correlation calculation module is used to acquire geographic information and environmental data of the construction site through GIS technology, and to extract parameters from the tension field site model using the geographic information and environmental data to obtain correlation feature parameters. The layout simulation module is used to migrate the tension field site model, generate a tension field site migration model, and input the correlation feature parameters into the tension field site migration model to perform cyclic layout simulation to obtain the optimal tension field site construction parameters. The model building module includes: The key node extraction unit is used to extract key nodes from the tension field using BIM technology to obtain key node information. The residual unit is used to calculate the residual value of the key node information using cross-validation. The trend unit is used to perform spatial trend analysis on the key node information corresponding to the residual value using the residual value, so as to obtain the spatial trend distribution of the key node information. The form-finding unit is used to perform form-finding analysis on the key node information to obtain the force-variance information of the key nodes. The modeling unit is used to integrate the force variation information of the key nodes and the spatial trend distribution of the key node information to establish a model of the key nodes, thereby obtaining the tension field model. The correlation calculation module includes: The parameter extraction unit is used to extract the geographic information and the environmental data as the first parameter extraction layer and the tension field model as the second parameter extraction layer. A change calculation unit is used to calculate the change index of the second parameter extraction layer under the influence of the first parameter extraction layer; The selection unit is used to select a correlation parameter from the first parameter extraction layer as the third parameter extraction layer based on the change index. The correlation index calculation unit is used to calculate the correlation index between each model node in the third parameter extraction layer and the second parameter extraction layer. The association unit is used to select correlation feature parameters from the third parameter extraction layer through the correlation index, and associate the correlation feature parameters with the corresponding model nodes; The layout simulation module includes: The migration unit is used to migrate the tensioning field model into a tensioning vehicle model, a tensioning field model, and a traction rope model. The simulation unit is used to input the correlation characteristic parameters into the corresponding tensioning vehicle model, tensioning field model and traction rope model for layout simulation, so as to obtain the tensioning field construction parameters.

6. An electronic device, characterized in that, It includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement a parameterized transmission line tension field site layout simulation method as described in any one of claims 1 to 4.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the computer program implements a method for simulating the site layout of a parameterized transmission line tension field as described in any one of claims 1 to 4.

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