Parameterization power transmission line stretching field layout simulation method and parameterization power transmission line stretching field layout simulation equipment

Abstract

The invention discloses a parameterized power transmission line distraction field site arrangement simulation method and equipment, structural characterization is carried out on extracted nodes by combining an interpolation method and a shape finding analysis method, parameterized modeling is carried out according to a characterization structure, a distraction field site model is further obtained, the distraction field site model accurately feeds back the shape of a distraction field, and the distraction field site arrangement simulation method and equipment have the advantages that the distraction field site arrangement simulation efficiency is improved. Meanwhile, the interaction relation between each machine and each structure is accurately fed back, and an accurate and stable distraction field model consistent with a construction field is provided for subsequent distraction field simulation; the arrangement simulation parameters subjected to construction verification are input into the distraction field migration model again to be circularly processed until the optimal arrangement simulation parameters are generated, the optimal arrangement simulation parameters serve as the optimal distraction field construction parameters, construction is conducted, and the problem that local engineering calculation is conducted on the parameters manually is solved; the calculation result is not standard, and meanwhile, the position of a dangerous point in the layout of the distraction field cannot be accurately estimated.

Description

Technical Field

[0001] The present invention relates to the technical field of transmission line tension and traction fields, and particularly relates to a parametric simulation method and device for the layout of transmission line tension and traction fields. Background Art

[0002] In the field of electric power construction, the construction of transmission lines is a crucial link, and its quality and efficiency are directly related to the stability and economy of the entire power grid. Especially during the tension erection process of transmission lines, the layout of the tension and traction field plays a crucial role. However, there are significant problems with traditional construction methods in this key link.

[0003] For a long time, the tension erection of transmission lines has mostly relied on manual calculations based on experience and manual pole arrangement and wiring. This manual calculation method is not only inefficient but also has significant limitations in the erection process due to excessive reliance on experience. On the one hand, the manual calculation method reduces the calculation efficiency, and because it is based on experience, it makes the tension erection of transmission lines have certain limitations; on the other hand, due to the manual spatial layout method of the tension and traction field, in most cases, the entire section of the tension and traction field cannot be reasonably spatially laid out in the optimal way, which will lead to unreasonable spatial layout, causing certain economic losses; at the same time, it will also pose safety hazards to the construction of transmission lines.

[0004] Empirical calculation methods are often difficult to adapt to complex and changing construction environments, thus limiting the accuracy and flexibility of tension erection. In addition, the manual method of spatially laying out the tension and traction field also brings many problems. Due to the lack of scientific and systematic spatial layout planning, this not only leads to waste of space and increased construction costs but also may cause safety hazards due to unreasonable spatial layout.

[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 and traction fields. This method needs to overcome the limitations of manual calculation and manual spatial layout of the tension and traction field, provide a parametric simulation means to achieve accurate calculation and optimal planning of the site layout. Through this method, not only can the construction efficiency be improved, resource waste be reduced, but also potential dangerous points in the layout of the tension and traction field can be more accurately evaluated, thus ensuring the safety and reliability of construction.

[0006] Therefore, there is an urgent need to develop a parametric simulation method for the layout of transmission line tension and traction fields to solve the problems that the calculation results are not standardized when manually performing local engineering calculations on parameters and the positions of dangerous points in the layout of the tension and traction field cannot be accurately estimated. Summary of the Invention

[0007] Based on the problems raised in the above background art, the object of the present invention is to provide a parametric simulation method for the site layout of the tension and traction field of a transmission line, which solves the problems that the calculation results are not standardized when manually performing local engineering calculations on parameters, and at the same time, the positions of dangerous points in the site layout of the tension and traction field cannot be accurately estimated.

[0008] The present invention is realized through the following technical solutions:

[0009] The first aspect of the present invention provides a parametric simulation method for the site layout of the tension and traction field of a transmission line, including the following steps:

[0010] Step S1: Use BIM technology to extract nodes from the tension and traction field site, and combine the interpolation method and the form-finding analysis method to establish a model for the extracted nodes to obtain a tension and traction field site model;

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

[0012] Step S3: Migrate the tension and traction field site model to generate a tension and traction field site migration model, and input the correlation characteristic parameters into the tension and traction field site migration model for cyclic layout simulation to obtain the optimal construction parameters for the tension and traction field site.

[0013] In the above technical solution, nodes are extracted from the tension and traction field site, and parametric modeling is performed based on the nodes. Among them, to ensure the accuracy of the establishment of the tension and traction field site model, in this method, the interpolation method and the form-finding analysis method are combined to structurally characterize the extracted nodes, and parametric modeling is performed according to the characterized structure, thereby obtaining a tension and traction field site model. This tension and traction field site model accurately reflects the shape of the tension and traction field, and at the same time, accurately reflects the interaction relationship between each machine and each structure, providing an accurate, stable, and construction-site-consistent tension and traction field site model for subsequent tension and traction field site simulation.

[0014] Geographical information and environmental data including terrain height, slope, soil type, and meteorological data are obtained through GIS technology. However, not all of the obtained geographical information and environmental data are relevant to the site layout of the tension and traction field. At the same time, the influencing factors for the site layout of each tension and traction field are not completely the same, and the influencing procedures of geographical information and environmental factors on the site layout of the tension and traction field at a specific construction site are not completely the same. Therefore, after obtaining the geographical information and environmental data, it is necessary to use the geographical information and environmental data to extract parameters from the specific tension and traction field site model, find the influencing factors with high correlation with the tension and traction field site model, and finally generate correlation characteristic parameters.

[0015] After obtaining the correlation feature parameters of a specific project, the originally established tension field site model is migrated with emphasis to obtain a tension field site migration model. This tension field site migration model strengthens the structural features of the tension field site that have a high correlation with the construction site characteristics, and weakens some feature structures with weak correlations, so as to conduct key analysis on the tension field site. The correlation feature parameters are input into the tension field site migration model for layout simulation, and then the parameters obtained from the layout simulation are verified in construction. The layout simulation parameters after construction verification are input into the tension field site migration model again for cyclic processing until the optimal layout simulation parameters are generated. The optimal layout simulation parameters are used as the optimal construction parameters for the tension field site and are used for construction.

[0016] In an alternative embodiment, the BIM technology is used to extract nodes from the tension field site, and the extracted nodes are modeled by combining the interpolation method and the form-finding analysis method, including the following steps:

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

[0018] Step S12: Calculate the residual value of the key node information by using the cross-validation method;

[0019] Step S13: Use the residual value to conduct a 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: Conduct a form-finding analysis on the key node information to obtain the force change information of the key nodes;

[0021] Step S15: Establish a model for the key nodes by comprehensively considering the force change information of the key nodes and the spatial trend distribution of the key node information to obtain a tension field site model.

[0022] In an alternative embodiment, the parameters of the tension field site model are extracted by 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 the 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 the relevant characteristic parameters from the third parameter extraction layer according to the correlation index, and associate the relevant characteristic parameters to the corresponding model nodes.

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

[0029] Calculate the influence index of the relevant parameters in the third parameter extraction layer on the outlet tension and traction force of the tension vehicle model node;

[0030] Perform a comprehensive calculation on the outlet tension influence index and the traction force influence index to obtain the correlation index of the tension vehicle node model;

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

[0032] Perform a comprehensive calculation on the traction rope force influence index, the traction rope traction force influence index, and the traction rope horizontal tension influence index to obtain the correlation index of the traction rope model node.

[0033] In an alternative embodiment, calculating the influence index of the relevant parameters in the third parameter extraction layer on the outlet tension and traction force of the tension vehicle model node includes:

[0034]

[0035] In the above formula, is the influence index of the nth relevant parameter on the outlet tension of the tension vehicle model node, is the influence index of the nth relevant parameter on the traction force of the tension vehicle model node, W is the weight of the wire hung between tension vehicles, h is the height difference of the hanging points of the tension vehicle, l is the span of the tension vehicle control section, y is the vertical distance of the adjacent hanging point, y0 is the safety distance of the adjacent hanging point, is the angle of the height difference of the hanging point, μ j is the friction force in the jth section, τ n is the nth relevant parameter, i is the tension vehicle gear, σ0 is the stress at the lowest point of the sag, g is the specific load, and σ is the wire expansion coefficient.

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

[0037]

[0038] In the above formula, is the traction rope force influence index, is the traction rope traction force influence index, is the traction rope horizontal tension influence index, S is the cross-sectional area of the traction rope, E is the Young's modulus, L is the elongation of the traction rope, and s is the cross-sectional area of the traction rope in the horizontal direction.

[0039] In an alternative embodiment, migrating the tension field site model to generate a tension field site migration model, and inputting the correlation feature parameters into the tension field site migration model for cyclic layout simulation, includes:

[0040] Step S31: Migrate the tension field site model into a tension vehicle model, a tension field site model, and a traction rope model;

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

[0042] The second aspect of the present invention provides a parametric transmission line tension field site layout simulation system, including:

[0043] A model establishment module, configured to extract nodes from the tension field site using BIM technology, and establish a model for the extracted nodes by combining the interpolation method and the form-finding analysis method to obtain a tension field site model;

[0044] A correlation calculation module, configured to obtain the geographical information and environmental data of the construction site through GIS technology, and extract parameters from the tension field site model using the geographical information and the environmental data to obtain correlation feature parameters;

[0045] A layout simulation module, configured to migrate the tension field site model to 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] In a third aspect of the present invention, an electronic device is provided, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, a parametric simulation method for the layout of a tension and stringing field of a transmission line is implemented.

[0047] In a fourth aspect of the present invention, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, a parametric simulation method for the layout of a tension and stringing field of a transmission line is implemented.

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

[0049] 1. The extracted nodes are structurally characterized by combining the interpolation method and the form-finding analysis method, and parametric modeling is carried out according to the characterized structure, thereby obtaining a tension and stringing field site model. The tension and stringing field site model accurately reflects the shape of the tension and stringing field, and at the same time, accurately reflects the interaction relationship between various machines and structures, providing an accurate, stable, and construction-site-consistent tension and stringing field site model for subsequent tension and stringing field site simulation;

[0050] 2. The correlation characteristic parameters are input into the tension and stringing field site migration model for layout simulation, and then the parameters obtained from the layout simulation are verified in construction. The layout simulation parameters after construction verification are input into the tension and stringing field site migration model again for cyclic processing until the optimal layout simulation parameters are generated. The optimal layout simulation parameters are used as the optimal tension and stringing field site construction parameters and are used for construction, solving the problem that the calculation results are not standardized when manually performing local engineering calculations on parameters, and at the same time, the positions of dangerous points in the tension and stringing field site layout cannot be accurately estimated. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as limiting the scope. For those of ordinary skill in the art, other related drawings can be obtained based on these drawings without creative efforts. In the drawings:

[0052] Figure 1 It is a schematic flow chart of a parametric simulation method for the layout of a tension and stringing field of a transmission line provided in Embodiment 1 of the present invention;

[0053] Figure 2 It is a schematic structural diagram of a tensioning area in a tension and stringing field provided in Embodiment 1 of the present invention;

[0054] Figure 3Schematic structural diagram of a parametric transmission line tension and traction field site layout simulation system provided in Embodiment 2 of the present invention;

[0055] Figure 4 Schematic structural diagram of an electronic device provided in Embodiment 3 of the present invention. Detailed implementation manners

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

[0057] Embodiment 1

[0058] Figure 1 Schematic flow diagram of a parametric transmission line tension and traction field site layout simulation method provided in Embodiment 1 of the present invention. As Figure 1 shown, a parametric transmission line tension and traction field site layout simulation method includes the following steps:

[0059] Step S1: Use BIM technology to extract nodes of the tension and traction field site, and establish a model for the extracted nodes by combining the interpolation method and the form-finding analysis method to obtain a tension and traction field site model;

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

[0061] Step S3: Migrate the tension and traction field site model to generate a tension and traction field site migration model, and input the correlation characteristic parameters into the tension and traction field site migration model for cyclic layout simulation to obtain the optimal tension and traction field site construction parameters.

[0062] It should be noted that an important step in the parametric simulation of the tension and traction field layout of transmission lines is to establish a model based on the tension and traction field site. BIM technology (Building Information Modeling) is a three-dimensional solid building model establishment technology based on a three-dimensional digital model. In this method, BIM technology is used to establish a model to simulate the real tension and traction field site. The tension and traction field site, such as Figure 2As shown in the figure, tension and pulling vehicles are arranged at the power construction site. Sometimes, there are also wire reels, tight line winches, inner angle arrangement machines, etc. in the tension and pulling field. When arranging the tension and pulling field, it is necessary to pay attention to avoiding mutual intersection and paying attention to the safety distance. Therefore, in this method, it is necessary to extract the nodes of the tension and pulling field site, and perform parametric modeling based on the nodes. Among them, to ensure the accuracy of the establishment of the tension and pulling field site model, in this method, the interpolation method and the form-finding analysis method are combined to characterize the structural features of the extracted nodes, and parametric modeling is performed according to the characterized structure, so as to obtain the tension and pulling field site model. This tension and pulling field site model accurately reflects the shape of the tension and pulling field. At the same time, it also accurately reflects the interaction relationship between various machines and various structures, providing an accurate, stable and construction-site-consistent tension and pulling field site model for subsequent simulation of the tension and pulling field site.

[0063] The tension and pulling vehicle is subject to large forces and has high requirements for ground anchors; the distance between the placement position of the tension and pulling vehicle and the tower needs to be limited within a certain range. For example, being too close will cause the incoming line of the traction machine or the outgoing line of the tension machine to have too large an angle with the ground, resulting in a reduction in the front-hauling effect. The above are all points that need to be noted when arranging the tension and pulling field site. At present, the tension erection of transmission lines mostly relies on the manual calculation based on experience and the manual wiring method for the spatial layout of the tension and pulling field, which will lead to space waste, increase construction costs, and may also cause safety hazards due to unreasonable spatial layout. At the same time, the site environment of the transmission line construction site has a great impact on the layout of the tension and pulling field site. For example, geographical information such as slopes and soil types, and environmental data such as meteorology and other factors have a great impact on the placement position and fixed position of the tension and pulling machine.

[0064] Based on this, this method obtains the geographical information and environmental data of the construction site through GIS technology (Geographic Information System) on the basis of the tension and pulling field site model. GIS technology is a spatial information technology that can collect data on geographical distributions in space. In this method, geographical information and environmental data including terrain height, slope, soil type, and meteorological data are obtained through GIS technology. However, not all of the obtained geographical information and environmental data are relevant to the layout of the tension and pulling field site. At the same time, the influencing factors for the layout of each tension and pulling field site are not exactly the same, and the influence degree of geographical information and environmental factors on the layout of the tension and pulling field site of a specific construction site is not exactly the same. Therefore, after obtaining the geographical information and environmental data, it is necessary to use the geographical information and environmental data to extract parameters for the specific tension and pulling field site model, find the influencing factors with high correlation with this tension and pulling field site model, and finally generate relevant characteristic parameters.

[0065] After obtaining the correlation feature parameters of a specific project, the originally established tension field site model is migrated with emphasis to obtain a tension field site migration model. This tension field site migration model strengthens the structural features of the tension field site that have a high correlation with the construction site characteristics, and weakens some feature structures with weak correlations, so as to conduct key analysis on the tension field site. Input the correlation feature parameters into the tension field site migration model for layout simulation, then verify the parameters obtained from the layout simulation through construction, and input the layout simulation parameters after construction verification into the tension field site migration model again for cyclic processing until the optimal layout simulation parameters are generated. The optimal layout simulation parameters are used as the optimal tension field site construction parameters and are used for construction.

[0066] In an alternative embodiment, BIM technology is used to extract nodes from the tension field site, and interpolation method and form-finding analysis method are combined to establish a model for the extracted nodes, including the following steps:

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

[0068] Step S12: Use the cross-validation method to calculate the residual value of the key node information;

[0069] Step S13: Use the residual value to conduct a 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: Conduct form-finding analysis on the key node information to obtain key node force change information;

[0071] Step S15: Establish a model for the key nodes by comprehensively considering the key node force change information and the spatial trend distribution of the key node information to obtain a tension field site model.

[0072] It should be noted that through BIM technology, a detailed scan and analysis of the tension field site are carried out to extract key node information. These nodes include terrain change points, structural support points, load application points, etc. In this embodiment, the key node information includes key node information of the tension vehicle, tension field site node information, and traction rope node information, providing basic data for subsequent model establishment. The purpose of this step is to obtain the structural node information of objects, terrain, etc. that need to be analyzed with emphasis in the tension field site, so as to facilitate subsequent model establishment and analysis. The cross-validation method is used to calculate the difference between the predicted value and the actual observed value of each node to obtain the residual value, and the residual value is used for spatial trend analysis to determine the spatial distribution trend of the key node information.

[0073] Specifically, the analysis process of the spatial trend distribution includes: through regression analysis, using least squares to fit a non-linear function to simulate the spatial distribution and trend of the tension vehicle, the tension field site, and the traction rope structure. At the same time, by testing the non-linear function obtained by fitting during the trend process, the correlation between key nodes is ensured. A cubic polynomial trend surface analysis is performed on the non-linear function obtained by fitting during the trend process using the search value, the smoothing factor, and the error value, and the influence trend of the search value and the smoothing factor on the interpolation accuracy is observed from the perspective of continuous spatial change.

[0074] Further, after analyzing the spatial trend distribution of each key node using the interpolation method, a preliminary model of the tension field site can be obtained. However, this preliminary model only reflects the structural information and cannot reflect the force and deformation conditions of the structure. During the operation of the tension vehicle, the tension vehicle, the tension field site, and the traction rope will bear a certain pressure under the action of the force during the construction process, resulting in force change conditions. Therefore, in this embodiment, a form-finding analysis of the key node information is required to obtain the force change conditions of the key nodes, and the tension field site model required by this embodiment is constructed by integrating the spatial trend distribution and the force change conditions.

[0075] In an alternative embodiment, parameter extraction of the tension field site model using the geographical information and the environmental data includes:

[0076] Step S21: Use the geographical 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 the relevant 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 the relevant characteristic parameters from the third parameter extraction layer through the correlation index and associate the relevant characteristic parameters to the corresponding model nodes.

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

[0082] The influencing factors with a non-zero change index will be extracted to the third parameter extraction layer for the interaction between the second parameter extraction layer and the third parameter extraction layer. The purpose of the interaction between the second parameter extraction layer and the third parameter extraction layer is to extract the correlation between the influencing factors and each model node. For example, the impact and degree of impact of wind force, ice layer, lightning points, etc. on the traction force of the traction rope.

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

[0084] Calculating the influence index of the correlation parameter in the third parameter extraction layer on the outlet tension of the tension vehicle model node and the traction force influence index;

[0085] Performing a comprehensive calculation on the outlet tension influence index and the traction force influence index to obtain the tension vehicle node model correlation index;

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

[0087] Performing a comprehensive calculation on the traction rope force influence index, the traction rope traction force influence index, and the traction rope horizontal tension influence index to obtain the traction rope model node correlation index.

[0088] Furthermore, each model node in the second parameter extraction layer further includes a tension field site 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] Calculating the position safety influence index and the ground anchor stability index of the correlation parameter in the third parameter extraction layer on the tension field site model node;

[0090] Perform a comprehensive calculation on the position safety influence index and the ground anchor stability index to obtain the associated index of the tension field site model.

[0091] In an alternative embodiment, calculating the influence index of the correlation parameter in the third parameter extraction layer on the outlet tension of the tension vehicle model node and the traction force influence index includes:

[0092]

[0093] In the above formula, is the influence index of the nth correlation parameter on the outlet tension of the tension vehicle model node, is the influence index of the nth correlation parameter on the traction force of the tension vehicle model node, W is the weight of the wire hung between the tension vehicles, h is the height difference of the hanging points of the tension vehicles, l is the span of the tension vehicle control section, y is the vertical distance of the adjacent hanging point, y0 is the safety distance of the adjacent hanging point, is the hanging point height difference angle, μ j is the friction force at the jth section, τ n is the nth correlation parameter, i is the tension vehicle gear, σ0 is the stress at the lowest point of the sag, g is the specific load, and σ is the wire hanging expansion coefficient.

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

[0095]

[0096] In the above formula, is the traction rope force influence index, is the traction rope traction force influence index, is the traction rope horizontal tension influence index, S is the cross-sectional area of the traction rope, E is the Young's modulus, L is the elongation of the traction rope, and s 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 calculate based on the force judgment nodes during the stretching process of the tensioning vehicle and the tensioning field. The stretching calculation is a hierarchical calculation process, which is mainly divided into three parts. The first part is the calculation of the tensioning vehicle and the tensioning field. During this calculation process, it is necessary to calculate the outlet tension of the tensioning vehicle, and then judge the placement position of the tensioning vehicle according to the outlet tension, etc. Then the second part is the selection of the traction rope. In this part, it is mainly to refer to three indicators of the force, traction force, and horizontal tension of the traction rope, and determine whether the selection of the traction rope is reasonable through the three indicators. And the above three indicators are affected by two parameters, the traction force and the outlet tension. Therefore, in this embodiment, it is necessary to calculate the influence degree of each relevant parameter on the three indicators under its influence. The last part is the output judgment, and the output judgment is calculated according to the outlet tension and the layout of the tensioning field obtained from the force condition of the traction rope. This part needs to be calculated in the tensioning field site migration model.

[0098] Further, migrate the tensioning field site model to generate a tensioning field site migration model, and input the relevant characteristic parameters into the tensioning field site migration model for cyclic layout simulation, including:

[0099] Divide the tensioning field site model into three parts for migration, and the three parts include: the tensioning vehicle, the tensioning field site, and the traction rope. Then input the relevant characteristic parameters associated with the corresponding model nodes into the corresponding migration model for block simulation, and then perform interactive simulation on the results of the block simulation to finally generate simulation parameters.

[0100] Inspect the simulation parameters. If the inspection is unqualified, adjust the parameters and input them into the migration model for recalculation until the optimal parameters are generated.

[0101] Embodiment 2

[0102] Figure 3 As shown in the structural schematic diagram of a parametric transmission line tensioning field site layout simulation system provided by Embodiment 2 of the present invention, Figure 3 shown, a parametric transmission line tensioning field site layout simulation system includes:

[0103] A model establishment module is used to extract nodes of the tensioning field site by using BIM technology, and establish a model for the extracted nodes by combining the interpolation method and the form-finding analysis method to obtain a tensioning field site model;

[0104] The relevance calculation module is used to obtain the geographical information and environmental data of the construction site through GIS technology, and extract parameters from the tension field site model by using the geographical information and the environmental data to obtain relevance characteristic 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 relevance characteristic parameters into the tension field site migration model for cyclic layout simulation to obtain the optimal construction parameters of the tension field site.

[0106] Embodiment 3

[0107] Figure 4 The following is a schematic structural diagram of an electronic device provided in Embodiment 3 of the present invention. As Figure 4 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 may be one or more, Figure 4 and one processor 21 is taken as an example herein; the processor 21, the memory 22, the input device 23, and the output device 24 in the electronic device may be connected through a bus or other means, Figure 4 and the connection through a bus is taken as an example herein.

[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, that is, implements a parametric transmission line tension field site layout simulation method in Embodiment 1.

[0109] The memory 22 may mainly include a program storage area and a data storage area. Among them, the program storage area may store an operating system and application programs required for at least one function; the data storage area may store data created according to the use of the terminal, etc. In addition, the memory 22 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one magnetic disk storage device, a flash memory device, or other non-volatile solid-state storage devices. In some instances, the memory 22 may further include a memory remotely set relative to the processor 21, and these remote memories may be connected to the electronic device through a network. Examples of the above network include but are not limited to the Internet, an enterprise intranet, a local area network, a mobile communication network, and combinations thereof.

[0110] The input device 23 can be used to receive user input such as id and password, etc. The output device 24 is used to output a distribution network page.

[0111] Embodiment 4

[0112] Embodiment 4 of the present invention further provides a computer-readable storage medium. When the computer-executable instructions are executed by a computer processor, they are used to implement a parametric simulation method for the layout of a tension field for a transmission line as provided in Embodiment 1.

[0113] A storage medium containing computer-executable instructions provided by an embodiment of the present invention. The computer-executable instructions are not limited to the method operations provided in Embodiment 1, and can also execute related operations in a parametric simulation method for the layout of a tension field for a transmission line provided by any embodiment of the present invention.

[0114] The specific embodiments described above further elaborate on the purpose, technical solutions, and beneficial effects of the present invention. It should be understood that the above are only specific embodiments of the present invention and are not used to limit the protection scope of the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A parameterized transmission line tensioning field layout simulation method, characterized in that: The steps include: Step S1, using BIM technology to extract nodes from the tensioning site, combining interpolation method and form-finding analysis method to establish a model for the extracted nodes, and obtaining a tensioning site model; Step S2, obtaining geographic information and environmental data of the construction site through GIS technology, and extracting parameters of the tensioning field model using the geographic information and the environmental data to obtain correlation characteristic parameters; Step S3, migrating the stretching field model to generate a stretching field migration model, inputting the associated characteristic parameters into the stretching field migration model to perform a cyclic layout simulation, and obtaining optimal stretching field construction parameters.

2. A parameterized transmission line tensioning field layout simulation method according to claim 1, characterized in that: The BIM technology is used to extract nodes from the tensioning site, and the extracted nodes are modeled by combining the interpolation method and form-finding analysis method, including the following steps: Step S11, using BIM technology to extract key nodes of the stretching site to obtain key node information; Step S12, using a cross-validation method to calculate the residual value of the key node information; Step S13: using the residual value to perform spatial trend analysis on the key node information corresponding to the residual value, to obtain the spatial trend distribution corresponding to the key node information; Step S14, performing form-finding analysis on the key node information to obtain key node force change information; Step S15, building a model for the key nodes based on the force change information of the key nodes and the spatial trend distribution corresponding to the key node information to obtain a tension field model.

3. A parameterized transmission line tensioning field layout simulation method according to claim 1, characterized in that: Utilizing the geographic information and the environmental data to extract parameters of the site model of the stretching field includes: Step S21, using the geographic information and the environmental data as a first parameter extraction layer, and using the tension field model as a second parameter extraction layer; Step S22, calculating a variation index of the second parameter extraction layer under the influence of the first parameter extraction layer; Step S23, selecting a correlation parameter from the first parameter extraction layer as a third parameter extraction layer based on the change index; Step S24, calculating the correlation index between each model node in the third parameter extraction layer and the second parameter extraction layer; Step S25: selecting correlation feature parameters from the third parameter extraction layer through the correlation index, and associating the correlation feature parameters to corresponding model nodes.

4. A parameterized transmission line tensioning field layout simulation method according to claim 1, characterized in that: 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 each model node in the third parameter extraction layer and the second parameter extraction layer includes: Calculating the influence index of the associated parameters in the third parameter extraction layer on the outlet tension and traction force of the tension vehicle model node; Comprehensively calculating the outlet tension influence index and the traction force influence index to obtain the tensioning vehicle node model correlation index; Calculate the traction rope force influence index, traction rope traction force influence index, and traction rope horizontal tension influence index of the correlation parameters in the third parameter extraction layer on the traction rope model node under the outlet tension influence index and the traction force influence index; The traction rope force influence index, the traction rope traction force influence index, and the traction rope horizontal tension influence index are comprehensively calculated to obtain the traction rope model node association index.

5. A parameterized transmission line tensioning field layout simulation method according to claim 4, characterized in that: Calculating the influence index of the associated parameters in the third parameter extraction layer on the outlet tension and traction force of the tension vehicle model node, including: In the above formula, is the influence index of the nth correlation parameter on the outlet tension of the tensioning vehicle model node, is the influence index of the nth correlation parameter on the traction force of the tensioning vehicle model node, W is the weight of the hanging wire between the tensioning vehicles, h is the height difference of the hanging points of the tensioning vehicle, l is the control gear distance of the tensioning vehicle, y is the vertical distance of the adjacent hanging points, y0 is the safety distance of the adjacent hanging points, is the height difference angle of the hanging point, μ j is the friction force at the jth gear, τ n is the nth correlation parameter, i is the gear position of the tensioning vehicle, σ0 is the stress at the lowest point of the sag, g is the specific load, and σ is the expansion coefficient of the hanging wire.

6. A parameterized transmission line tensioning field layout simulation method according to claim 5, characterized in that: Calculating the traction rope force influence index, traction rope traction influence index, and traction rope horizontal tension influence index of the correlation parameters in the third parameter extraction layer on the traction rope model node under the outlet tension influence index and the traction force influence index, including: In the above formula, is the force influence index of the traction rope, is the traction force influence index of the traction rope, is the influence index of horizontal tension of traction rope, S is the cross-sectional area of ​​traction rope, E is Young's modulus, L is the elongation of traction rope, and s is the cross-sectional area of ​​traction rope in horizontal direction.

7. A parameterized transmission line tensioning field layout simulation method according to claim 1, characterized in that: Migrating the stretching field model to generate a stretching field migration model, inputting the associated characteristic parameters into the stretching field migration model to perform a cyclic layout simulation, including: Step S31, migrating the tensioning field model into a tensioning vehicle model, a tensioning field model and a traction rope model; Step S32: input the associated characteristic parameters into the corresponding tensioning vehicle model, the tensioning field model and the traction rope model to perform layout simulation to obtain tensioning field construction parameters.

8. A parameterized transmission line tensioning field layout simulation system, characterized in that: include: The model building module is used to extract nodes from the tensioning site using BIM technology, and to build a model of the extracted nodes by combining the interpolation method and the form-finding analysis method to obtain a tensioning site model; A correlation calculation module is used to obtain geographic information and environmental data of the construction site through GIS technology, and to extract parameters of the tensioning field model using the geographic information and the environmental data to obtain correlation characteristic parameters; The layout simulation module is used to migrate the tensioning field model, generate a tensioning field migration model, input the associated characteristic parameters into the tensioning field migration model to perform cyclic layout simulation, and obtain the optimal tensioning field construction parameters.

9. An electronic device, characterized in that: The method comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, a parameterized transmission line tensioning field layout simulation method as claimed in any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, a parameterized transmission line tensioning field layout simulation method as described in any one of claims 1 to 7 is implemented.

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