A hyperbolic surface modeling optimization method for metal roof and wall exterior decorative panels

Abstract

The present invention provides a method for optimizing the hyperbolic surface modeling of an exterior decorative plate of a metal roof wall, comprising the following processing steps: step 1: reconstructing the surface of a hyperbolic panel to be optimized to obtain a model and performing plate segmentation; step 2: analyzing the model of each segmented plate to determine the plate type of the corresponding optimized plate; step 3: obtaining a single-direction curvature line of the plate, i.e., a pressure arc line, from the model of the segmented plate, and then generating a cylinder according to the obtained pressure arc line, and performing error analysis and value taking; step 4: determining a single-curved panel model in combination with the error value, and then comparing the single-curved panel model with the model of the corresponding plate to obtain a curvature difference and correcting the single-curved panel model according to the curvature difference to obtain a replacement single-curved panel. The present invention can effectively optimize processing accuracy, reduce the number of hyperbolic plates, and reduce manufacturing costs.

Description

Technical Field

[0001] The invention belongs to the field of metal walls, and in particular relates to a method for optimizing the hyperbolic surface modeling of an exterior decorative plate of a metal roof wall. Background Art

[0002] The hyperbolic plate used for the exterior decoration of metal roof walls is basically a hyperbolic aluminum plate. Many people think that the hyperbolic plate is just an aluminum veneer with a certain curvature. In fact, the curved plate can be subdivided into single curved plate, hyperbolic plate, spherical aluminum veneer, etc. The process difficulty is gradually complicated. The overall curvature must be calculated first, and then the curved surface is formed by laser seamless welding, polishing and other methods. The entire processing process and subsequent surface coating are very time-consuming and labor-intensive, and the cost is not cheap. Therefore, for public construction projects with various shapes, especially hyperbolic shapes, metal roof walls must meet the requirements of safety, function and economy while meeting the appearance of the building. Optimizing and merging the seams and plates of the building's exterior decorative panels, reducing the difficulty of material processing, and reducing processing costs are key technical points that need to be solved in the industry. However, in the existing technology, such as CN111008423B authorization announcement on June 10, 2022, a method for optimizing the design of a hyperbolic curtain wall includes taking a three-dimensional model of the hyperbolic building skin to be optimized; constructing two intersecting control curves of the trajectory line and the section line according to the surface morphology of the three-dimensional model of the hyperbolic building skin, and establishing a parameterized surface model based on the two intersecting control curves; using an optimization algorithm to change the control point coordinates of the trajectory line and the section line to obtain multiple new surfaces, and by calculating the deviation between the new surface and the original surface, selecting the new surface with the smallest deviation as the optimal surface; extracting the boundary line of the original hyperbolic surface, pulling it back to the optimal surface along the normal of the optimal surface, and then cutting the optimal surface to obtain the optimized building skin. This processing method has a certain effect, but the error is large and the accuracy is not high. Summary of the invention

[0003] The purpose of the present invention is to provide a method for optimizing the hyperbolic surface modeling of metal roof and wall exterior decorative panels, which can effectively optimize the processing accuracy, reduce the number of hyperbolic panels, and reduce the manufacturing cost.

[0004] To achieve this purpose, a method for optimizing the hyperbolic surface modeling of metal roof and wall exterior decorative panels is provided, comprising the following processing steps:

[0005] Step 1: Reconstruct the surface of the hyperbolic panel to be optimized to obtain a model and perform plate segmentation;

[0006] Step 2: Analyze the models of each segmented plate to determine the corresponding optimized plate type;

[0007] Step 3: Obtain the curvature line of the segmented plate in a single direction, i.e., the compression arc line, from the model of the segmented plate. Then, generate a cylinder based on the obtained compression arc line and perform error analysis to obtain the value.

[0008] Step 4: Determine the single-curved panel model in combination with the error value, then compare the single-curved panel model with the model of the corresponding plate to obtain the curvature difference and modify the single-curved panel model according to the curvature difference to obtain the replacement single-curved panel.

[0009] Preferably, in step 1, the plate is divided into several blocks according to the preset construction design requirements of the hyperbolic panel and the raw material width of the hyperbolic panel.

[0010] Preferably, in step 2, the shape of the model of the plate segmented according to the preset standard and the processing requirements of the shape are analyzed to determine the corresponding plate type of the optimized plate.

[0011] Preferably, in step 3, when extracting the pressure arc line, first determine the extraction direction of the plate model, then randomly extract the UV coordinate points on the model surface, and obtain the maximum curvature value of the UV coordinate points on the model surface through the extracted UV coordinate points, so as to obtain the radius through the curvature value and the corresponding calculation formula: curvature = 1 / radius; finally, draw a circle through the radius, and project the arc line onto the model surface to generate a single direction curvature line.

[0012] Preferably, in step 3, multiple arc pressure lines are extracted to obtain the average curvature.

[0013] Preferably, in step 3, the cylinder is generated according to the average curvature, and the model of the divided plate is projected onto the cylinder to obtain a projection model. A number of sampling and verification points are determined on the projection model and on multiple edges of the model of the corresponding divided plate to perform error analysis and value taking. The error analysis standard is specifically set according to the preset enterprise standard of the processing enterprise, the material of the plate and the model size of the divided plate.

[0014] Preferably, in step 3, the error analysis is performed by taking the deviation distance between the projection model and the model of the corresponding segmented plate at the sampling verification point as the error value.

[0015] Preferably, in step 4, the single-curved panel model is determined according to a preset standard in combination with the error value. When the single-curved panel model is corrected according to the curvature difference, corrections are made according to the first warp value at both ends of the pressure arc line between the single-curved panel model and the model of the corresponding divided plate, the third warp value, and the second warp value in the middle. When the first warp value, the third warp value, and the second warp value are within a set range, the correction is successful, otherwise the curvature of the single-curved panel model is adjusted.

[0016] Compared with the prior art, the present invention has the following beneficial effects:

[0017] In the present invention, the optimized single-curved panel is obtained by segmenting the original hyperbolic panel and the correction is performed to improve the accuracy, which can effectively optimize the processing accuracy, reduce the number of hyperbolic panels, and reduce the manufacturing cost. In the present invention, parametric design and in-depth design of the hyperbolic decorative panel are performed through software to improve the processing and installation efficiency. In the present invention, the average curvature is obtained by extracting multiple arc lines, so that a regular cylindrical surface with a certain radius can be extracted, reducing the factory's processing costs and eliminating the need to make molds; improving the processing speed and on-site construction period. In the present invention, the first warp value, the third warp value, and the second warp value are measured and corrected, so that the error between the single-curved panel and the original hyperbolic panel is smaller, and the replacement accuracy is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a flowchart of the present invention;

[0019] Figure 2 This is the error control diagram in the present invention. DETAILED DESCRIPTION

[0020] The technical solution of the present invention is further described in detail below in conjunction with the accompanying drawings, but the protection scope of the present invention is not limited to the following.

[0021] like Figure 1 As shown, the present invention provides a method for optimizing the hyperbolic surface modeling of a metal roof and wall exterior decorative panel, comprising the following processing steps:

[0022] Step 1: Reconstruct the surface of the hyperbolic panel to be optimized to obtain a model and perform plate segmentation;

[0023] Step 2: Analyze the model 1 of each segmented plate to determine the plate type of the corresponding optimized plate;

[0024] Step 3: Obtain the curvature line of a single direction of the segmented plate model 1, that is, the compression arc line, and then generate a cylinder based on the obtained compression arc line to perform error analysis and value determination;

[0025] Step 4: Determine the single-curved panel model 2 in combination with the error value, then compare the single-curved panel model 2 with the model of the corresponding plate to obtain the curvature difference and modify the single-curved panel model 2 according to the curvature difference to obtain a replacement single-curved panel.

[0026] In this embodiment, the surface of the hyperbolic panel to be optimized is mostly irregular curved surface, because the edge of the curved surface is a discontinuous multiple curve; therefore, the surface reconstruction is to extract and reconstruct the edge line of the hyperbolic panel surface into a continuous arc line with radius parameters, and obtain a new model through the newly created continuous curves by four-side fitting or multi-side patch embedding of the software. In step 1, the plate is segmented into several blocks according to the construction design requirements of the hyperbolic panel and the raw material width of the hyperbolic panel. The plate segmentation process is, first, try to ensure the segmentation size and shape requirements of the hyperbolic panel to be optimized. If the hyperbolic panel to be optimized exceeds the raw material width, the hyperbolic panel design to be optimized should be changed at this time, and the segmentation shape should also be changed; for example: the original design of the aluminum veneer is a single plate with a width of 1900mm and a length of 2000mm. The width of the raw materials commonly used by well-known domestic manufacturers is below 1500mm, so it is necessary to communicate with the design institute to re-segment the plate arrangement, and the plates that do not exceed the process requirements can remain unchanged.

[0027] In step 1, the plate is divided into several blocks according to the preset construction design requirements of the hyperbolic panel and the raw material width of the hyperbolic panel. In this embodiment, the plate type of the optimized plate is a cylindrical surface type or an oblique cylindrical surface type. The analysis and determination process of the plate type of the optimized plate is to analyze according to the number of edges of the model 1 of the divided plate, such as using the number of edges to screen whether the panel divided by the model is: a triangle, a quadrilateral or a pentagon. If they are all quadrilateral plates, then analyze the characteristics such as the side length, diagonal and angle to determine whether it is a rectangle or an irregular quadrilateral surface. The rectangle belongs to the standard cylindrical surface, and the irregular quadrilateral belongs to the oblique cylindrical surface or the conical surface. The irregular quadrilateral is defined according to the raw material of the processing plant. If the set has an ultra-wide plate, the irregular quadrilateral is subdivided twice to finally ensure the plate type that can be processed and produced.

[0028] In step 3, the error analysis value is taken as the deviation distance between the projection model and the corresponding segmented plate model at the sampling verification point. When extracting the arc line, first determine the extraction direction of the plate model, then randomly extract the UV coordinate points on the model surface, and obtain the maximum curvature value of the UV coordinate point on the model surface through the extracted UV coordinate points, so as to obtain the radius through the curvature value and the corresponding calculation formula: curvature = 1 / radius; finally, draw a circle through the radius, and project the arc line onto the model surface to generate a single direction curvature line.

[0029] In step 3, multiple arc lines are extracted to obtain the average curvature. This makes it possible to extract a regular cylindrical surface with a fixed radius, reducing the factory's processing costs and eliminating the need to make molds; it also increases processing speed and on-site construction period.

[0030] In step 3, the cylinder is generated according to the average curvature, and the model 1 of the segmented plate is projected onto the cylinder to obtain a projection model, and a number of sampling and verification points are determined on the projection model and on multiple edges of the model 1 of the corresponding segmented plate to perform error analysis and value determination. The error includes the deviation distance between the projection model and the model 1 of the corresponding segmented plate at the sampling and verification points, and the error analysis standard is specifically set according to the preset enterprise standard of the processing enterprise, the material of the plate, and the model size of the segmented plate.

[0031] In this embodiment, the optimization process of the present invention is processed by Rhino+GH software, so that the optimization process becomes a parameterized program. According to the error analysis value, the curvature of the projection model can be adjusted so that the deviation distance of the sampling verification point is within the set range to obtain the single-curved panel model 2. The Rhino+GH software also performs multi-directional measurement and comparison on the single-curved panel model 2 and the model 1 of the corresponding segmented plate, so as to debug the various parameters of the program and finally determine the reliability of the program. The projection process is to generate a cylindrical single-curved surface according to the average curvature stretching, and then scale it up. The enlarged single-curved surface is used as the base map, and the outline (shape line) of the model 1 of the segmented plate is directly projected onto the corresponding enlarged single-curved surface. The process of determining the single-curved panel model 2 is to cut off the redundant enlarged single-curved surface with the shape line after the projection of the model 1 of the segmented plate, and the edge obtained is the shape of the optimized single-curved panel model 2.

[0032] In this embodiment, the error analysis standard is determined according to the enterprise standard or production and processing capacity of the relevant product processing enterprise. Because the production equipment and process methods of small and medium-sized enterprises and large enterprises are different, the error values ​​are different; the model segmentation size of the plate is different, which will cause the warping value to change; the material of the plate is different, such as the warping value of the aluminum plate is different from that of the steel plate of the same size. However, for the same material and size, the error of each manufacturer is not much different. For example, the warping value of the quadrilateral of a 3mm aluminum plate is about 25mm for most manufacturers. If it is less than this value, it is considered that the optimization plan can be implemented.

[0033] like Figure 2In step 4, the single-curved panel model is determined according to the preset standard in combination with the error value. When the single-curved panel model 2 is corrected according to the curvature difference, the first warp value D1, the third warp value D3 and the second warp value D2 at both ends of the pressure arc between the single-curved panel model 2 and the model 1 of the corresponding segmented plate are corrected. When the first warp value D1, the third warp value D34 and the second warp value D34 are within the set range, the correction is successful, otherwise the curvature of the single-curved panel model 2 is adjusted. In this embodiment, the first warp value D1 and the third warp value D3 are the warp values ​​in the length direction of the plate surface. The second warp value D2 is the warp value in the width direction of the plate. If the warp values ​​of the model 1 of the segmented plate are within the set range, then the single-curved panel model 2 is the final replacement single-curved plate surface newly generated after segmentation.

[0034] The first warp value D1, the third warp value D3 and the second warp value D2 can be set within a range of 10 mm. In this embodiment, the correction process is carried out according to the processing technology requirements of the factory panel warp value. For example, the factory sets the maximum warp value of 3.0 aluminum veneer to 10 mm before production, so the plates greater than this value are screened, because the arc pressure line is generated by random UV coordinate points on the hyperbolic panel that needs to be optimized, so the UV coordinate points on the hyperbolic panel that needs to be optimized are randomly extracted twice, combined with genetic algorithms or annealing algorithms, to find the optimal solution of arch height (arch height less than the process requirement value). This process changes the arc pressure line generated for the first time, but ensures the arch height value that can be produced and processed, and the correction is completed.

[0035] The replacement single-curved panel combination corresponding to the model 1 of each divided plate can replace the hyperbolic panel for optimization, which can effectively optimize the processing accuracy. After the grid of the external decorative panel and the optimization of the shape of the divided plate, the number of hyperbolic plates can be greatly reduced, and the material processing cost can be reduced without affecting the appearance of the building. At the same time, through the software parametric design and the in-depth design of the hyperbolic decorative plate, the processing and installation efficiency can be improved.

[0036] The above are only preferred embodiments of the present invention. It should be understood that the present invention is not limited to the form disclosed herein, and should not be regarded as excluding other embodiments, but can be used in various other combinations, modifications and environments, and can be modified within the scope of the present invention through the above teachings or the technology or knowledge of the relevant field. The changes and modifications made by those skilled in the art do not depart from the spirit and scope of the present invention, and should be within the scope of protection of the claims attached to the present invention.

Claims

1. A method for optimizing the hyperbolic surface modeling of metal roof and wall exterior decorative panels, characterized in that: The processing steps include: Step 1: Reconstruct the surface of the hyperbolic panel to be optimized to obtain a model and perform plate segmentation; Step 2: Analyze the models of each segmented plate to determine the corresponding optimized plate type; Step 3: Obtain the curvature line of the segmented plate in a single direction, i.e., the compression arc line, from the model of the segmented plate. Then, generate a cylinder based on the obtained compression arc line and perform error analysis to obtain the value. Step 4: Determine the single-curved panel model in combination with the error value, then compare the single-curved panel model with the model of the corresponding plate to obtain the curvature difference and modify the single-curved panel model according to the curvature difference to obtain a replacement single-curved panel; In step 4, the single-curved panel model is determined according to the preset standard in combination with the error value. When the single-curved panel model is corrected according to the curvature difference, the first warp value, the third warp value and the second warp value in the middle of the pressure arc line between the single-curved panel model and the corresponding divided plate model are corrected. When the first warp value, the third warp value and the second warp value are within the set range, the correction is successful, otherwise the curvature of the single-curved panel model is adjusted.

2. The method for optimizing the hyperbolic surface modeling of metal roof and wall exterior decorative panels according to claim 1, characterized in that: In step 1, the plate is divided into several blocks according to the preset construction design requirements of the hyperbolic panel and the raw material width of the hyperbolic panel.

3. The method for optimizing the hyperbolic surface modeling of metal roof and wall exterior decorative panels according to claim 1, characterized in that: In step 2, the shape of the model of the segmented plate and the processing requirements of the shape are analyzed and determined according to preset standards to determine the corresponding plate type of the optimized plate.

4. The method for optimizing the hyperbolic surface modeling of metal roof and wall exterior decorative panels according to claim 1, characterized in that: In step 3, when extracting the compression arc line, first determine the extraction direction of the plate model, then randomly extract the UV coordinate points on the model surface, and obtain the maximum curvature value of the UV coordinate points on the model surface through the extracted UV coordinate points, so as to obtain the radius through the curvature value and the corresponding calculation formula: curvature = 1 / radius; finally, draw a circle through the radius, and project the arc line onto the model surface to generate a single direction curvature line.

5. The method for optimizing the hyperbolic surface modeling of metal roof and wall exterior decorative panels according to claim 4, characterized in that: In step 3, multiple arc lines are extracted to obtain the average curvature.

6. The method for optimizing the hyperbolic surface modeling of metal roof and wall exterior decorative panels according to claim 5, characterized in that: In step 3, the cylinder is generated according to the average curvature, and the model of the divided plate is projected onto the cylinder to obtain a projection model. A number of sampling and verification points are determined on multiple edges of the projection model and the corresponding divided plate model to perform error analysis and value taking. The error analysis standard is specifically set according to the preset enterprise standard of the processing enterprise, the material of the plate and the model size of the divided plate.

7. The method for optimizing the hyperbolic surface modeling of metal roof and wall exterior decorative panels according to claim 6, characterized in that: In step 3, the error analysis is performed by taking the deviation distance between the projection model and the model of the corresponding segmented plate at the sampling verification point as the error value.

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