Prefabricated wall modeling method, device, equipment and medium
By automatically recognizing precast wall drawings and generating cross-sectional data, the problem of dimensional deviations caused by human input errors is solved, achieving high efficiency and accuracy in precast wall modeling.
Patent Information
- Application Number
- CN202610141910.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-02-02
- Publication Date
- 2026-03-06
AI Technical Summary
In the process of modeling precast walls, manual input of parameters is prone to errors, leading to dimensional deviations and low efficiency.
By recognizing the drawings of precast walls, the system automatically acquires and configures sectional views and sub-attribute bindings, generates cross-sectional data, calculates movement paths, and assembles component models, reducing manual input by users.
It significantly improves the efficiency and accuracy of precast wall modeling, reduces manual input errors, and improves the accuracy of dimension determination.
Smart Images

Figure CN121615380A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the technical field of modeling, and in particular to a method, apparatus, equipment and medium for modeling precast walls. Background Technology
[0002] Precast walls refer to building wall components that are prefabricated in a factory environment and then transported to the construction site for assembly. This industrialized construction method is a core component of prefabricated buildings. Precast walls are typically made of concrete, steel, wood, or lightweight composite materials. Standardized factory production ensures consistent component quality and reduces on-site wet work. The use of precast walls can shorten the construction cycle, reduce environmental pollution, and improve resource utilization.
[0003] In some related technologies, during the modeling process of precast walls, various parameters need to be manually checked and input one by one according to the drawings. This is prone to input errors, which can lead to dimensional deviations in the precast walls. Furthermore, the modeling efficiency of manually inputting each parameter is low. Summary of the Invention
[0004] This application provides a method, apparatus, equipment, and medium for modeling precast walls, which at least solves the problem of manually inputting various parameters of the precast wall into modeling software before modeling in related technologies. By directly recognizing the drawings of the precast wall, the dimensional parameters of the precast wall can be quickly determined, effectively reducing the need for manual input by users, thereby significantly improving the efficiency and accuracy of precast wall modeling.
[0005] This application provides a method for modeling precast walls, the method comprising: Select the type of new precast wall, obtain the components of the new precast wall according to the type of new precast wall, and create the sub-attributes of the components; Obtain a first sectional view and a second sectional view of the newly constructed precast wall drawing, wherein the sections of the first sectional view and the sections of the second sectional view are perpendicular to each other. Configure the sub-attributes to match the first sectional view and the second sectional view respectively to generate cross-sectional data; The movement path is calculated based on the cross-sectional data. The component model is constructed by combining the cross-sectional data and the movement path. The component model is then assembled to obtain the precast wall model.
[0006] In a specific embodiment, creating the sub-attributes of the component includes: constructing the parent attribute of the newly built precast wall, obtaining a preset graphic element template from the database; creating the sub-attributes of the component in combination with the graphic element template, and configuring the sub-attributes to be bound to the parent attribute.
[0007] In a specific embodiment, the sub-attributes are matched with the first sectional view and the second sectional view respectively to generate cross-sectional data, specifically including: the first sectional view is a plan view of the newly built precast wall drawing, and the second sectional view is an elevation view of the newly built precast wall drawing; extracting the first cross-sectional view of the first sectional view and the second cross-sectional view of the second sectional view, and configuring the sub-attributes to match the first cross-sectional view and the second cross-sectional view respectively to generate first cross-sectional data and second cross-sectional data; the first cross-sectional data and the second cross-sectional data constitute the cross-sectional data.
[0008] In one specific embodiment, the first cross-sectional view displays the first cross-sectional polygon and the first polygon size of the plan view, and the second cross-sectional view displays the second cross-sectional polygon and the second polygon size of the elevation view; the first polygon size and the second polygon size have dimension annotations, which are user-defined; the sub-attribute of the component is selected in the tree node, and the color value of the sub-attribute in the component is configured; the point function is used in the first sectional view and the second sectional view to fill and display the corresponding color of the first sectional view and the second sectional view associated with the sub-attribute, and the elevation and thickness information are configured in the parent attribute.
[0009] In one specific embodiment, the newly constructed precast wall includes ordinary wall panels, PCF wall panels, or sandwich insulated walls; and / or, the sub-attribute includes one or more of outer leaf panels, insulation panels, or inner leaf panels.
[0010] In one specific embodiment, the paths of the outer leaf plate, the insulation board, and the inner leaf plate are generated sequentially based on the first cross-sectional data; an outer leaf plate model is generated by combining the second cross-sectional data and the path of the outer leaf plate, an insulation board model is generated by combining the second cross-sectional data and the path of the insulation board, and an inner leaf plate model is generated by combining the second cross-sectional data and the path of the inner leaf plate; the precast wall model is obtained by splicing the outer leaf plate model, the insulation board model, and the inner leaf plate model.
[0011] In a specific embodiment, in response to confirming that the newly constructed precast wall does not include sub-attributes, the element template in the database is selected; the grouting height, precast height, post-cast height and wall thickness are input through the element template; and a standard precast wall model formed by splicing preset rectangles is generated by combining the grouting height, the precast height, the post-cast height and the wall thickness.
[0012] This application also provides a precast wall modeling device, including: A creation module is used to control the selection of the new precast wall type, obtain the components of the new precast wall according to the new precast wall type, and create the sub-attributes of the components; The configuration module is used to obtain the first sectional view and the second sectional view of the newly created precast wall drawing, wherein the sections of the first sectional view and the second sectional view are perpendicular to each other; and to configure the sub-attributes to match the first sectional view and the second sectional view respectively to generate cross-sectional data. A generation module is used to calculate a movement path based on the cross-sectional data, construct a model of the component by combining the cross-sectional data and the movement path, and assemble the models of the component to obtain a precast wall model.
[0013] This application also provides an electronic device, including: a memory for storing a computer program; and a processor for executing the computer program to implement the steps of any of the above-described prefabricated wall modeling methods.
[0014] This application also provides a computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the steps of any of the above-described prefabricated wall modeling methods.
[0015] This application achieves several improvements. First, the components of the newly constructed precast wall are obtained based on its type, and sub-attributes of these components are automatically created. Then, the first and second sectional views in the precast wall drawing are selected, and the first and second sectional views are bound to the corresponding sub-attributes to form complete cross-sectional data. The movement path is then calculated based on the cross-sectional data, and the movement path and cross-sectional data are combined to generate models of each component. Finally, the models of all components are spliced together to form a complete precast wall model. By directly recognizing the precast wall drawings, the dimensional parameters of the precast wall can be quickly determined, effectively reducing the need for manual input by users and significantly improving the efficiency and accuracy of precast wall modeling. Attached Figure Description
[0016] To more clearly illustrate the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0017] Figure 1 A schematic diagram illustrating a precast wall modeling method provided in an embodiment of this application; Figure 2 A schematic diagram of a first cross-sectional view provided for an embodiment of this application; Figure 3A schematic diagram of a second cross-sectional view provided for an embodiment of this application; Figure 4 The first and second sectional views provided in the embodiments of this application are software cross-sectional views filled with corresponding colors during the modeling process; Figure 5 A schematic diagram illustrating the movement of the second section along the stretching trajectory in the sectional view provided in the embodiments of this application; Figure 6 A schematic diagram of a standard prefabricated wall provided for an embodiment of this application; Figure 7 A cross-sectional schematic diagram of a custom prefabricated wall provided in an embodiment of this application; Figure 8 This is a schematic diagram of a custom cross-section precast wall model provided in an embodiment of this application. Detailed Implementation
[0018] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the protection scope of this application.
[0019] It should be noted that, in the description of this application, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. The terms "first," "second," etc., in this application are used to distinguish similar objects and are not used to describe a specific order or sequence.
[0020] To enable those skilled in the art to better understand the present application, the present application will be further described in detail below with reference to the accompanying drawings and specific embodiments.
[0021] Embodiments of this application provide a method for modeling prefabricated walls, such as... Figure 1 As shown, the method includes the following steps: Step 1: Select the type of new precast wall, obtain the components of the new precast wall according to the type of new precast wall, and create sub-attributes of the components.
[0022] Specifically, in this embodiment, the newly constructed precast wall type is configured as either a standard PCF wall panel or a sandwich insulated wall, with sub-attributes including one or more of the following: outer leaf panel, insulation board, or inner leaf panel. First, we will explain using a PCF wall panel as an example, confirming that the PCF wall panel includes an outer leaf panel and an insulation board; that is, the outer leaf panel and the insulation board are set as components of the PCF wall panel.
[0023] Then, construct the parent attribute of the newly built precast wall and obtain the preset graphic template in the database; combine the graphic template to create the sub-attributes of the components and configure the sub-attributes to be bound to the parent attribute. Specifically, this includes: first, creating the parent attribute of the PCF wall panel, then obtaining the configured graphic template in the database, automatically creating the sub-attributes of the outer leaf panel and insulation board type according to the configured graphic template, and binding their sub-attributes to the PCF panel wall attribute.
[0024] Step 2: Obtain the first and second sectional views of the newly created precast wall drawing. The sections of the first and second sectional views are perpendicular to each other.
[0025] Step 3: Configure sub-attributes to match the first and second sectional views respectively to generate cross-sectional data.
[0026] Specifically, step 3.1 involves extracting the first cross-sectional view of the first sectional view and the second cross-sectional view of the second sectional view, and configuring sub-attributes to match the first cross-sectional view and the second cross-sectional view respectively to generate the first cross-sectional data and the second cross-sectional data; Step 3.2: The first section data and the second section data constitute the section data.
[0027] In this embodiment, the first sectional view is a plan view of the newly created precast wall drawing, and the second sectional view is an elevation view of the newly created precast wall drawing. Specifically, the newly created precast wall drawing is configured as an editable CAD drawing, and the elevation and plan views of the newly created precast wall are selected by selecting the frame in the modeling software.
[0028] The first cross-sectional view displays the first cross-sectional polygon and its dimensions in the plan view, while the second cross-sectional view displays the second cross-sectional polygon and its dimensions in the elevation view. Both polygon dimensions have user-defined annotations. In other words, both the first and second cross-sectional views consist of polygons. By extracting these polygons from the first and second cross-sectional views into the precast wall's cross-section dialog box view, the view can identify and display the respective cross-sectional polygons and their dimensions in the plan and elevation views within the cross-section dialog box. These dimensions are freely modifiable by the user.
[0029] Furthermore, the modeling in this embodiment is also equipped with functions such as drawing lines, drawing rectangles, scaling, and rotating. These functions allow users to modify the polygons in the elevation and plan views in real time to ensure that the dimensions of each component meet the user's requirements, that is, to ensure that the dimensions of the outer leaf plate, insulation board, and inner leaf plate in the PCF wall panel meet the user's requirements.
[0030] In a specific embodiment, such as Figure 2 and Figure 3 As shown, the plan view and elevation view are filled with corresponding colors. The plan view is the plan view that is parallel to the horizontal plane, and the elevation view is the plan view that is perpendicular to the horizontal plane. The cross-section of the plan view is the horizontal cross-section, and the cross-section of the elevation view is the vertical cross-section.
[0031] Specifically, this includes: selecting sub-attributes of a component in a tree node, configuring the color values of the sub-attributes in the component; using the point function in the first and second sectional views to fill and display the corresponding colors in the first and second sectional views associated with the sub-attributes, and configuring the elevation and thickness information in the parent attribute.
[0032] The precast wall components are filled in using modeling software, and the software cross-sectional view of the process is shown below. Figure 4 As shown, first in Figure 4 In the tree node on the left, select the corresponding sub-attribute for the newly created precast wall, specifically including outer leaf plate, insulation board, or inner leaf plate. Then, use the "Point" function to click within the cross-sectional polygon in the elevation and plan views. After clicking, the first cross-sectional polygon in the plan view and the second cross-sectional polygon in the elevation view are bound to the corresponding precast wall sub-attribute. After binding, the fill color of the cross-sectional polygon is displayed as the color configured in the sub-attribute. Repeat this process until all precast wall sub-attributes are bound to at least one first cross-sectional polygon in the plan view and one second cross-sectional polygon in the elevation view. After all precast wall sub-attributes are bound to the cross-section, click the "Confirm" button in the cross-section dialog box to generate the complete cross-sectional data required for precast wall modeling. That is, the complete cross-sectional data includes the first cross-sectional data and the second cross-sectional data.
[0033] The above scheme can directly combine the plan and elevation drawings of the precast wall for intelligent identification, so as to quickly and accurately determine the cross-sectional shape and cross-sectional data of the plan and elevation drawings. At the same time, the cross-sectional shape and cross-sectional data of the elevation drawings are confirmed. When creating the precast wall, the cross-sectional data obtained above is used for modeling, thereby effectively improving the efficiency and accuracy of creating relevant attribute parameters of the precast wall.
[0034] Step 4: Calculate the movement path based on the cross-sectional data, construct component models by combining the cross-sectional data and the movement path, and assemble the component models to obtain the precast wall model.
[0035] In one specific embodiment, calculating the movement path of the component based on the first cross-sectional data specifically includes: obtaining all edges of the first cross-sectional polygon and constructing a Voronoi diagram; cropping the Voronoi diagram and making the projection of the Voronoi diagram cover the projection of the first cross-sectional polygon; and connecting the edges of the cropped Voronoi diagram to generate the movement path.
[0036] In a specific embodiment, the required stretching trajectories for the outer blade, insulation board, and inner blade models are calculated based on the first cross-sectional data of the aforementioned plan view. Then, the paths for the outer blade, insulation board, and inner blade are generated sequentially based on the first cross-sectional data. The outer blade model is generated by combining the second cross-sectional data and the outer blade path; the insulation board model is generated by combining the second cross-sectional data and the insulation board path; and the inner blade model is generated by combining the second cross-sectional data and the inner blade path. The precast wall model is obtained by assembling the outer blade model, the insulation board model, and the inner blade model. Figure 5 As shown, the scanning modeling method is used, that is, by moving the second section of the elevation section along the stretching trajectory and combining the second section data to generate models of the outer leaf plate, insulation board and inner leaf plate respectively. Finally, the models of each component are spliced together to form a complete precast wall model.
[0037] It should be noted that the movement path is calculated using the Voronoi diagram method, where the Voronoi diagram is a way to divide a plane into regions, each region being generated by the edges (or vertices) of a polygon, where points within the region are closer to that edge (or vertex) than to other edges (or vertices). For a polygon composed of line segments, its skeleton lines are the parts of its Voronoi diagram that lie inside the polygon.
[0038] In one specific embodiment, during the scanning modeling process, other required components can also be generated through parametric modeling methods such as stretching, rotating, and lofting.
[0039] In a specific embodiment, when reading the newly constructed precast wall, if it is confirmed that the newly constructed precast wall does not include sub-attributes, such as Figure 6 As shown, exemplarily, the newly constructed precast wall in this embodiment is a standard precast wall, which consists of three cubes. When generating the standard precast wall, a graphic template from the database is selected, and the grouting height, precast height, post-cast height, and wall thickness are input through the graphic template. The grouting height, precast height, post-cast height, and wall thickness are combined to generate a standard precast wall model formed by splicing preset rectangular cubes. The post-cast height is calculated using (top elevation - bottom elevation - grouting height - precast height).
[0040] Furthermore, when reading the newly created precast wall, if it is confirmed that the newly created precast wall is a custom precast wall, such as Figure 7 and Figure 8 As shown, for example, the top view section of the custom precast wall in this embodiment consists of two rectangles, one above and one below. That is, when modeling the custom precast wall, it is also necessary to set the top view transverse section. Then, the user fills in the grouting height, precast height, and post-cast height. The post-cast height is calculated by (top elevation - bottom elevation - grouting height - precast height). After calculating the above parameters, the extrusion modeling method is used to generate a custom section precast wall model spliced together by three vertically extruded bodies.
[0041] The solution in this embodiment first obtains the components of the newly built precast wall according to its type, and automatically creates sub-attributes for each component. Then, it selects the first and second sectional views from the precast wall drawing, and configures the first and second sectional views to be bound to the corresponding sub-attributes to form complete cross-sectional data. Next, it calculates the movement path based on the cross-sectional data, and moves the components using the movement path and cross-sectional data to generate models of each component. Finally, it splices together the models of all components to form a complete precast wall model. By directly recognizing the precast wall drawing, the dimensional parameters of the precast wall can be quickly determined, effectively reducing the need for manual input by the user, thereby significantly improving the efficiency and accuracy of precast wall modeling.
[0042] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods according to the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method.
[0043] Corresponding to the above embodiments, embodiments of this application also provide a prefabricated wall modeling device, including: The creation module controls the selection of the new precast wall type, obtains the components of the new precast wall based on the new precast wall type, and creates the sub-attributes of the components. The configuration module is used to obtain the first and second sectional views of the newly created precast wall drawing, where the sections of the first and second sectional views are perpendicular to each other; and to configure sub-attributes to match the first and second sectional views respectively to generate cross-sectional data. The generation module is used to calculate the movement path based on the cross-sectional data, combine the cross-sectional data and the movement path to construct component models, and assemble the component models to obtain the precast wall model.
[0044] In one specific embodiment, the newly constructed precast wall includes ordinary wall panels, PCF wall panels, or sandwich insulated walls; And / or, the sub-attributes include one or more of the outer leaf plate, insulation plate, or inner leaf plate.
[0045] In one specific embodiment, the creation module is also used to construct the parent attribute of the newly built precast wall, obtain the preset graphic element template in the database, create the sub-attributes of the components in combination with the graphic element template, and configure the sub-attributes to be bound to the parent attribute.
[0046] In a specific embodiment, the configuration module is further configured to: first sectional view being a plan view of a newly constructed precast wall drawing; second sectional view being an elevation view of a newly constructed precast wall drawing; extract a first cross-sectional view from the first sectional view and a second cross-sectional view from the second sectional view, and configure sub-attributes to match the first cross-sectional view and the second cross-sectional view respectively to generate first cross-sectional data and second cross-sectional data; the first cross-sectional data and the second cross-sectional data constitute cross-sectional data.
[0047] In one specific embodiment, the configuration module is further configured to display the first cross-sectional polygon and its dimensions in the first cross-sectional view, and the second cross-sectional view to display the second cross-sectional polygon and its dimensions in the second cross-sectional view; the first and second polygon dimensions have dimension annotations, which can be customized by the user; select sub-attributes of components in the tree node, and configure the color values of the sub-attributes in the components; use the point function in the first and second cross-sectional views to fill and display the corresponding colors in the first and second cross-sectional views associated with the sub-attributes, and configure the elevation and thickness information in the parent attribute.
[0048] In one specific embodiment, the generation module is further configured to obtain all edges of the first cross-sectional polygon and construct a Voronoi diagram; trim the Voronoi diagram and make the projection of the Voronoi diagram cover the projection of the first cross-sectional polygon; connect the edges of the trimmed Voronoi diagram to generate a movement path.
[0049] For a description of the features in the embodiment corresponding to the precast wall modeling device, please refer to the relevant description of the embodiment corresponding to the precast wall modeling method, which will not be repeated here.
[0050] Embodiments of this application also provide an electronic device, including a memory and a processor, wherein the memory stores a computer program and the processor is configured to run the computer program to perform the steps in any of the above embodiments of the prefabricated wall modeling method.
[0051] Embodiments of this application also provide a computer-readable storage medium storing a computer program, wherein the computer program is configured to execute the steps in any of the above embodiments of the prefabricated wall modeling method when it is run.
[0052] In one exemplary embodiment, the aforementioned computer-readable storage medium may include, but is not limited to, various media capable of storing computer programs, such as a USB flash drive, read-only memory (ROM), random access memory (RAM), portable hard disk, magnetic disk, or optical disk.
[0053] The embodiments of this application also provide a computer program product, which includes a computer program that, when executed by a processor, implements the steps in any of the above embodiments of the prefabricated wall modeling method.
[0054] Embodiments of this application also provide another computer program product, including a non-volatile computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps in any of the above embodiments of the prefabricated wall modeling method.
[0055] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.
[0056] The foregoing has provided a detailed description of a precast wall modeling method, apparatus, equipment, and medium provided in this application. Specific examples have been used to illustrate the principles and implementation methods of this application. The descriptions of the embodiments above are merely for the purpose of helping to understand the method and its core ideas. It should be noted that those skilled in the art can make various improvements and modifications to this application without departing from its principles, and these improvements and modifications also fall within the protection scope of the claims of this application.
Claims
1. A method of modeling a precast wall, the method comprising: The method comprises: selecting a new prefabricated wall type, obtaining components of the new prefabricated wall according to the new prefabricated wall type, and creating sub-attributes of the components; obtaining a first sectional view and a second sectional view of the new prefabricated wall drawing, the sectional plane of the first sectional view and the sectional plane of the second sectional view being perpendicular to each other; configuring the sub-attributes to match the first sectional view and the second sectional view respectively to generate cross-sectional data; calculating a moving path according to the cross-sectional data, combining the cross-sectional data and the moving path to build a model of the components, and splicing the model of the components to obtain a prefabricated wall model.
2. The precast wall modeling method of claim 1, wherein, Creating sub-attributes of the components specifically includes: building a parent attribute of the new prefabricated wall, obtaining a preset primitive template in a database; combining the primitive template to create sub-attributes of the components, and configuring the sub-attributes to be bound to the parent attribute.
3. The method of claim 2, wherein, Configuring the sub-attributes to match the first sectional view and the second sectional view respectively to generate cross-sectional data specifically includes: The first sectional view is a plan view of the new prefabricated wall drawing, and the second sectional view is an elevation view of the new prefabricated wall drawing; extracting a first cross-sectional view of the first sectional view and a second cross-sectional view of the second sectional view, and configuring the sub-attributes to match the first cross-sectional view and the second cross-sectional view respectively to generate first cross-sectional data and second cross-sectional data; The first cross-sectional data and the second cross-sectional data constitute the cross-sectional data.
4. The method of claim 3, wherein, The method further comprises: The first cross-sectional view displays a first cross-sectional polygon and a first polygon size of the plan view, and the second cross-sectional view displays a second cross-sectional polygon and a second polygon size of the elevation view; The first polygon size and the second polygon size have size annotations, and the size annotations are customized by the user; selecting the sub-attributes of the components in the tree node, configuring the color value of the sub-attributes in the components; using the point function in the first sectional view and the second sectional view, filling and displaying the corresponding color of the first sectional view and the second sectional view associated with the sub-attributes, and configuring the elevation and thickness information in the parent attribute.
5. The precast wall modeling method of claim 3 or 4, wherein, The method further comprises: The new prefabricated wall includes ordinary wallboard, PCF wallboard or sandwich insulation wall; And / or, the sub-attributes include one or more of the outer leaf, the insulation board or the inner leaf.
6. The method of claim 5, wherein, The method further comprises: generating the path of the outer leaf, the path of the insulation board and the path of the inner leaf in sequence according to the first cross-sectional data; combining the second cross-sectional data and the path of the outer leaf to generate an outer leaf model, combining the second cross-sectional data and the path of the insulation board to generate an insulation board model, and combining the second cross-sectional data and the path of the inner leaf to generate an inner leaf model; splicing the outer leaf model, the insulation board model and the inner leaf model to obtain the prefabricated wall model.
7. The method of claim 2, wherein, The method further comprises: in response to confirming that the new prefabricated wall does not include the sub-attributes, selecting the primitive template in the database; Input the cast-in-place height, the prefabricated height, the post-cast height and the wall thickness through the graphic template; Generate a standard prefabricated wall model formed by splicing preset rectangular bodies in combination with the cast-in-place height, the prefabricated height, the post-cast height and the wall thickness.
8. A precast wall modeling device for implementing the precast wall modeling method according to any one of claims 1 to 7, characterized in that, The device comprises: A creating module for controlling selection of a new prefabricated wall type, obtaining components of the new prefabricated wall according to the new prefabricated wall type, and creating sub-attributes of the components; A configuring module for obtaining a first sectional view and a second sectional view of the new prefabricated wall drawing, the section of the first sectional view and the section of the second sectional view being perpendicular to each other, and configuring the sub-attributes to match the first sectional view and the second sectional view respectively to generate cross-sectional data; A generating module for calculating a moving path according to the cross-sectional data, constructing the component model in combination with the cross-sectional data and the moving path, and splicing the component model to obtain a prefabricated wall model.
9. An electronic device, comprising: comprise: a memory for storing a computer program; a processor for executing the computer program to implement the steps of the prefabricated wall modeling method according to any one of claims 1-7.
10. A computer-readable storage medium, characterized in that, The computer readable storage medium stores a computer program, wherein the computer program is executed by the processor to implement the steps of the prefabricated wall modeling method according to any one of claims 1-7.
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