Construction method of tree-shaped curved concrete steel-wood combined formwork structure

Abstract

This invention provides a construction method for a tree-shaped curved concrete steel-wood composite formwork structure, belonging to the field of concrete construction technology. The method includes the following steps: fabricating tree-shaped column steel formwork for the tree-shaped curved concrete according to design requirements; pre-assembling the tree-shaped column steel formwork and verifying its dimensions; fabricating a root shape mold for the tree-shaped curved concrete based on the shape of the tree-shaped column steel formwork; fixing the root shape mold to the ground within the construction area using cement nails; fitting the tree-shaped column steel formwork into the root shape mold and assembling it; placing reinforcing steel reinforcements on the surface of the formed tree-shaped column steel formwork; filling the gap between the tree-shaped column steel formwork and the root shape mold with silicone sealant to form the tree-shaped curved concrete steel-wood composite formwork structure. This invention ensures the assembly accuracy of the formwork and guarantees a seamless effect after pouring complex, large-volume arc-shaped components.

Description

Technical Field

[0001] This invention belongs to the field of concrete construction technology, and more specifically, relates to a construction method for a tree-shaped curved concrete steel-wood composite formwork structure. Background Technology

[0002] Chinese invention patent CN109403546A (application number: CN201811460112.X) discloses a method for concrete pouring construction of irregularly shaped steel columns and concrete, including the following steps: formulating concrete pouring steps; fabricating an irregularly shaped steel column model; pouring concrete into the irregularly shaped steel column model using the concrete pouring steps; inspecting the irregularly shaped steel column model after concrete pouring and obtaining the inspection results; analyzing the inspection results, and if the inspection results meet the set requirements, pouring concrete into the irregularly shaped steel column according to the concrete pouring steps; if the inspection results do not meet the set requirements, adjusting the concrete pouring steps until the inspection results meet the set requirements. The concrete pouring construction method for irregularly shaped steel columns provided by this invention, through simulation experiments during pouring construction and gradual modification and improvement of the pouring steps, can greatly improve the quality of concrete pouring for irregularly shaped steel columns and also reduce construction costs.

[0003] When the casting method described above is applied to the increasingly personalized, complex, and specialized design of fair-faced concrete buildings, simulation experiments are conducted during the casting process. If any abnormality occurs, the bottom casting section is difficult to remedy, which not only fails to improve the construction quality but also increases the construction difficulty. Furthermore, the lack of control over the processing and assembly precision of the steel formwork during its fabrication makes it difficult to solve the problem of seamless treatment at the intersection of irregularly shaped concrete components. This results in the inability to guarantee the assembly precision of the formwork and makes it difficult to achieve a seamless effect after casting complex, large-volume arc-shaped components. Summary of the Invention

[0004] In view of this, the present invention proposes a construction method for a tree-shaped curved concrete steel-wood composite formwork structure, which can ensure the assembly accuracy of the formwork and ensure a seamless effect after the complex large-volume arc-shaped components are poured.

[0005] This invention is implemented as follows:

[0006] This invention provides a construction method for a tree-shaped curved concrete steel-wood composite formwork structure, comprising the following steps:

[0007] S10: Based on the design requirements, fabricate tree-shaped column steel formwork for tree-shaped curved concrete;

[0008] S20: Pre-assemble the tree-shaped column steel template and verify its forming dimensions;

[0009] S30: Based on the shape of the tree-shaped column steel template, make a root shape stamping mold for the tree-shaped curved concrete;

[0010] S40: The root shape mold is fixed to the ground in the construction area using cement nails;

[0011] S50: The tree-shaped steel template is fastened into the root shape mold and assembled into shape, and steel reinforcement is arranged on the surface of the formed tree-shaped steel template;

[0012] S60: Fill the gap between the tree-shaped column steel formwork and the root shape mold with glass glue to form the steel-wood composite formwork structure of the tree-shaped curved concrete.

[0013] The technical advantages of the construction method for a tree-shaped curved concrete steel-wood composite formwork structure provided by this invention are as follows: Due to the special shape of the tree-shaped curved concrete, using only processed wooden formwork to cast tree-shaped columns presents significant processing difficulties, making it hard to guarantee formwork accuracy and prevent grout leakage at the contact boundary gaps of complex-shaped formwork. This invention, by refining and customizing the steel formwork for the tree-shaped columns, solves the current problem of handling the intersection lines of irregularly shaped tree-shaped column components. Combined with sanding and surface painting, a smooth surface effect can be achieved after concrete pouring. By using a woodworking engraving machine to process the shape of the steel formwork root mold, and fixing the mold to the ground, the steel formwork can be secured within the wooden mold. Filling the gaps with silicone sealant effectively prevents grout leakage at the root, solving the problem of grout leakage at the contact boundary gaps of complex-shaped formwork. By combining the steel formwork with the wooden formwork, while ensuring shaping accuracy, grout leakage at the concrete root can be effectively prevented, achieving a better shaping effect. The construction method of this invention provides technical and experience support for the future processing, fabrication, and construction of various complex and large irregularly shaped components.

[0014] Based on the above technical solution, the construction method of the tree-shaped curved concrete steel-wood composite formwork structure of the present invention can be further improved as follows:

[0015] In step S20, when verifying the forming dimensions, an automatic measurement system is used to verify the forming dimensions of the tree-shaped column steel template. The automatic measurement system includes a light source, a camera, and a controller. The light source is used to illuminate the verification environment. The camera is used to take photos of the formed tree-shaped column steel template from different directions. The controller is electrically connected to the camera and has a memory and a processor. The memory is used to store the photos taken by the camera, and the processor is used to run the photo processing program stored in the memory to obtain the dimensions of the pre-assembled tree-shaped column steel template.

[0016] Furthermore, when the processor runs the photo processing program, it performs the following steps:

[0017] The first step is to preprocess the photos taken from the same direction to obtain image data;

[0018] The second step is to perform coordinate transformation on the image data;

[0019] The third step is to detect straight lines and arcs in the image data after coordinate transformation;

[0020] Step 4: Perform size calculations.

[0021] Furthermore, the preprocessing of the photograph to obtain image data includes the following steps:

[0022] The first step is grayscale conversion, which transforms the color image into a grayscale image;

[0023] The second step is to perform Gaussian filtering on the grayscale image to obtain an image with intact edges and high contrast.

[0024] The third step is to obtain the coarse edge information of the area to be tested through Canny edge detection, and then obtain the image data.

[0025] Furthermore, the coordinate transformation of the image data includes the following steps:

[0026] The first step is to accurately locate the position of the camera using a photoelectric encoder, acquire multiple photos, use the image data of the first photo as a reference image, and establish a reference coordinate system based on the reference image.

[0027] The second step is to convert the coordinates of the image data in the remaining photos into coordinates under the reference coordinate system.

[0028] The specific steps for converting the coordinates of the image data in the remaining photos to the coordinates under the reference image are as follows:

[0029] Use the coordinate transformation formula below to perform the transformation:

[0030] i = i′ + (i n -i0)×x i ;

[0031] j=j′+(j n -j0)×y j ;

[0032] In the formula, the position coordinates of the image data in each photograph are (i, j); the coordinates of the image data in the reference image are (1, 1); where i and j are the coordinates after coordinate transformation; i′ and j′ are the coordinates of the image data in the photograph to be transformed; i n j n i0 and j0 are the coordinate indices of the image data in the photo to be transformed; i0 and j0 are the indices of the image data in the reference image; x i y j It represents the number of pixels in the image data of the photo in the i and j directions.

[0033] Furthermore, the detection of straight lines and arcs in the coordinate-transformed image data includes the following steps:

[0034] Line and arc detection is performed using a subpixel edge detection algorithm based on cubic spline interpolation and an OpenCV image processing algorithm.

[0035] The sub-pixel edge detection algorithm using cubic spline interpolation includes the following steps:

[0036] Step 1: Use the Canny edge detection operator to perform edge detection on the selected ROI region to obtain coarse edges;

[0037] The second step is to take three pixels each along the left-right or up-down direction perpendicular to the edge, with a certain point on the thick edge as the center, and obtain their gray values.

[0038] The third step is to perform cubic spline interpolation on the six points and the center point obtained in the second step to obtain the illumination intensity function of the boundary points, which is six cubic polynomials;

[0039] Step 4: Find the zero-crossing points of the second derivative of the illumination intensity function, where the zero-crossing points are sub-pixel level boundary points;

[0040] Step 5: Refit the subpixel boundary points to form subpixel edges.

[0041] The OpenCV image processing algorithm is a RANSAC-based algorithm for detecting lines, circles, and ellipses in two-dimensional images, specifically including the following steps:

[0042] The first step is to use Hough line and arc detection to detect the sub-pixel edges and obtain multiple line and arc models;

[0043] The second step is to select the straight line and circular arc models with the largest dimensions as the optimal models.

[0044] The third step is to calculate the distance from the point set A in the ROI region to the fitted model, determine whether the distance exceeds the threshold, retain the points within the threshold, and discard the points that exceed the threshold.

[0045] Fourth step: Save the points retained in the third step in point set B;

[0046] Step 5: Perform least-squares line and arc fitting on the point set B to obtain accurate line and arc equations.

[0047] The detection of straight lines and arcs involves performing two-dimensional dimensional measurements of the assembled tree-shaped steel template from multiple angles, including the distance between straight lines and the radius of the arcs, to obtain the equations of the straight lines and arcs. Using the point set B and the results obtained from solving it, the forming dimensions of the tree-shaped steel template can be obtained. By comparing it with the design dimensions, the error results can be obtained.

[0048] Furthermore, before taking a photo of the formed tree-shaped steel template using a camera in step S20, the camera is first positioned at a reference point, specifically including the following steps:

[0049] Step 1: Select a first reference point and a second reference point on the tree-shaped column steel formwork, ensuring that the first reference point and the second reference point are located in the same shooting direction;

[0050] Step 2: Move the camera so that the first reference point is within the camera's shooting range, and record the current position A of the camera; move the camera so that the second reference point is within the camera's shooting range, and record the current position B of the camera;

[0051] Third step: Calculate the angles of the first reference point and the second reference point relative to the camera based on the positions A and B, and adjust the camera according to the angles;

[0052] Step 4: Locate and record the position C where the camera can simultaneously capture images of the first reference point and the second reference point;

[0053] Step 5: Record the position C as the reference position for the camera to take pictures in the current shooting direction.

[0054] Furthermore, the second step, which involves calculating the angles of two reference points relative to the cameras based on the positions of the two cameras, and then leveling the cameras according to these angles, specifically comprises:

[0055] Based on the difference between position A, position B, and the value returned after computer image processing, the angle required for the first reference point and the second reference point in the installation area to be rotated relative to the camera reference positioning is calculated, and then the camera is adjusted to this angle.

[0056] Based on the theoretical placement of the tree-shaped steel template within the installation area, obtain two theoretical positions A1 and B1 of two reference points on the tree-shaped steel template captured by the camera at position C; obtain two actual positions A1′ and B1′ of the two reference points captured by the camera at the current position; calculate the actual angle and movement distance required for the camera adjustment based on the theoretical positions A1 and B1 and the actual positions A1′ and B1′; determine a straight line L1 based on the two theoretical positions A1 and B1; determine a straight line L2 based on the two actual positions A1′ and B1′; then calculate the angle θ between the straight lines L1 and L2 based on the two theoretical positions A1 and B1 and the two actual positions A1′ and B1′, which serves as the angle of rotation required for the camera's reference positioning.

[0057] Furthermore, the third step of locating and recording the position C where the camera can simultaneously capture images of the first reference point and the second reference point specifically involves:

[0058] Adjust the camera so that the first reference point in the installation area is located at the center of the camera's field of view. Then move the camera so that the second reference point in the installation area is also located at the center of the camera's field of view. Record the position C of the camera at this time.

[0059] Furthermore, the molding dimension verification in step S20 includes the following verification contents:

[0060] Verify the external dimensions of the tree-shaped column steel formwork; verify the connection accuracy between the tree-shaped column steel formwork panels;

[0061] If the external dimensions or connection accuracy of the tree-shaped steel formwork do not meet the design requirements, the forming dimensions of the out-of-tolerance parts of the tree-shaped steel formwork shall be adjusted to meet the requirements, and the surface of the tree-shaped steel formwork after verification shall be painted.

[0062] Compared with existing technologies, the beneficial effects of the construction method for a tree-shaped curved concrete steel-wood composite formwork structure provided by this invention are as follows: This invention, through the refinement and customization of the tree-shaped column steel formwork, solves the current problem of handling the intersection lines of irregularly shaped tree-shaped column components. Combined with polishing and painting the steel formwork surface, a smooth and seamless effect can be achieved after concrete pouring. By using a woodworking carving machine to process the shape of the steel formwork root mold, and fixing the mold to the ground, the steel formwork can be secured within the wooden mold. Filling the gaps with silicone sealant effectively prevents grout leakage at the root, solving the problem of grout leakage at the contact boundary of complex-shaped formwork. By combining the steel formwork with the wooden formwork, while ensuring the accuracy of formwork assembly and the seamless effect of the shape, it also effectively prevents grout leakage at the concrete root, achieving a better aesthetic effect. The construction method in this invention provides technical and experiential support for the processing, fabrication, and construction of various complex and large irregularly shaped components in the future. Attached Figure Description

[0063] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments of the present invention will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0064] Figure 1 This invention provides a flowchart of a construction method for a tree-shaped curved concrete steel-wood composite formwork structure; Detailed Implementation

[0065] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0066] Therefore, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the invention without inventive effort are within the scope of protection of the invention.

[0067] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0068] In the description of this invention, it should be understood that the terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," and "counterclockwise," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0069] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0070] like Figure 1 The diagram shown is a flowchart of a construction method for a tree-shaped curved concrete steel-wood composite formwork structure provided by the present invention, which specifically includes the following steps:

[0071] S10: Based on the design requirements, fabricate tree-shaped column steel formwork for tree-shaped curved concrete;

[0072] S20: Pre-assemble the steel formwork for the tree-shaped column and verify its dimensions;

[0073] S30: Combining the shape of the tree-shaped column steel formwork, create a root shape stamping mold for the tree-shaped curved concrete;

[0074] S40: Use cement nails to fix the root shape mold to the ground in the construction area;

[0075] S50: The tree-shaped steel formwork is snapped into the root shape mold and assembled. Reinforcing steel members are laid on the surface of the formed tree-shaped steel formwork.

[0076] S60: Fill the gap between the tree-shaped column steel formwork and the root-shaped molding with glass glue to form a steel-wood composite formwork structure for tree-shaped curved concrete.

[0077] It should be noted that CNC machining is used to process the steel formwork for the tree-shaped columns to meet the processing accuracy requirements when assembling the intersecting lines of the tree-shaped columns. The formwork is then polished with wire brushes and grinding wheels, and finally coated with a high-quality paint to ensure a smooth finish on the concrete after demolding.

[0078] In the above technical solution, when verifying the forming dimensions in step S20, an automatic measurement system is used to verify the forming dimensions of the tree-shaped column steel template. The automatic measurement system includes a light source, a camera, and a controller. The light source is used to illuminate the verification environment. The camera is used to take photos of the formed tree-shaped column steel template from different directions. The controller is electrically connected to the camera. The controller is equipped with a memory and a processor. The memory is used to store the photos taken by the camera, and the processor is used to run the photo processing program stored in the memory to obtain the dimensions of the pre-assembled tree-shaped column steel template.

[0079] Furthermore, in the above technical solution, the molding dimension verification in step S20 includes the following verification contents:

[0080] Check the external dimensions of the tree-shaped column steel formwork; check the connection accuracy between the tree-shaped column steel formwork sections;

[0081] If the external dimensions or connection accuracy of the tree-shaped column steel formwork do not meet the design requirements, adjust the forming dimensions of the out-of-tolerance parts of the tree-shaped column steel formwork to meet the requirements, and paint the surface of the tree-shaped column steel formwork after verification.

[0082] Furthermore, in the above technical solution, the processor performs the following steps when running the photo processing program:

[0083] The first step is to preprocess photos taken from the same direction to obtain image data;

[0084] The second step is to perform coordinate transformation on the image data;

[0085] The third step is to detect straight lines and arcs in the image data after coordinate transformation.

[0086] Step 4: Perform size calculations.

[0087] Furthermore, in the above technical solution, preprocessing the photo to obtain image data includes the following steps:

[0088] The first step is grayscale conversion, which transforms the color image into a grayscale image;

[0089] The second step is to apply Gaussian filtering to the grayscale image to obtain an image with intact edges and high contrast.

[0090] The third step is to obtain the coarse edge information of the area to be tested through Canny edge detection, and then obtain the image data.

[0091] It should be noted that grayscale conversion is to adjust the values ​​of the three indicators R, G, and B in the RGB model to be equal, with a grayscale range of 0 to 255.

[0092] Gaussian filtering is a process of weighted averaging of the entire grayscale image. The value of each pixel is obtained by weighted averaging of its own value and the values ​​of other pixels in its neighborhood. Gaussian filtering is a linear smoothing filter, suitable for eliminating Gaussian noise, and is widely used in the noise reduction process of image processing.

[0093] Canny edge detection uses the Canny edge detection operator to find the optimal edges in a grayscale image. The specific operation includes two steps: gradient finding and edge tracking. Gradient finding involves using four masks to detect edges in the horizontal, vertical, and diagonal directions. The convolutions performed between the original image and each mask are stored, and the maximum value at each point and the direction of the generated edge are labeled. This allows the generation of a brightness gradient map for each point in the image and the direction of the brightness gradient. Edge tracking uses a hysteresis thresholding method to determine whether a higher brightness gradient is an image edge.

[0094] Furthermore, in the above technical solution, the coordinate transformation of image data includes the following steps:

[0095] The first step is to accurately locate the camera position using a photoelectric encoder, acquire multiple photos, use the image data of the first photo as the reference image, and establish a reference coordinate system based on the reference image.

[0096] The second step is to convert the coordinates of the image data in the remaining photos to coordinates in the reference coordinate system.

[0097] Furthermore, in the above technical solution, the detection of straight lines and arcs in the coordinate-transformed image data includes the following steps:

[0098] Line and arc detection is performed using a subpixel edge detection algorithm based on cubic spline interpolation and an OpenCV image processing algorithm.

[0099] It should be noted that the subpixel edge detection algorithm based on cubic spline interpolation further subdivides the basic unit of pixels to improve image resolution. Combined with cubic spline interpolation, it interpolates the gray value or derivative of the gray value of the pixel to add information. Through a series of shape values, a smooth curve is formed to achieve subpixel edge detection. The OpenCV image processing algorithm continuously selects a certain number of samples from the sample to perform linear fitting of the model, uses unselected samples to test the model, and retains the model according to certain rules. This method processes the smooth curve obtained by the subpixel edge detection algorithm based on cubic spline interpolation to obtain the curve that best fits the edge of the object in the image, forming the straight line and arc equations that can accurately reflect the outer contour of the tree-shaped column steel template in the image.

[0100] Furthermore, in the above technical solution, before taking a photo of the formed tree-shaped column steel formwork using a camera in step S20, the camera is first positioned at a reference point, specifically including the following steps:

[0101] Step 1: Select the first reference point and the second reference point on the tree-shaped column steel formwork, ensuring that the first reference point and the second reference point are located in the same shooting direction;

[0102] Step 2: Move the camera so that the first reference point is within the camera's shooting range and record the current camera position A; move the camera so that the second reference point is within the camera's shooting range and record the current camera position B.

[0103] The third step is to calculate the angles of the first and second reference points relative to the camera based on positions A and B, and then adjust the camera accordingly.

[0104] Step 4: Locate and record the position C where the camera can simultaneously capture images of the first reference point and the second reference point;

[0105] Step 5: Record position C as the reference position for the camera to shoot in the current shooting direction.

[0106] Furthermore, in the above technical solution, the second step of calculating the angles of two reference points relative to the cameras based on the positions of the two cameras, and then leveling the cameras according to these angles, specifically involves:

[0107] Based on the difference between position A, position B, and the result of computer image processing, the angles required for the first and second reference points within the installation area to be rotated relative to the camera reference positioning are calculated, and then the camera is adjusted to these angles.

[0108] Furthermore, in the above technical solution, the third step of locating and recording the position C where the camera can simultaneously capture the first reference point and the second reference point is specifically as follows:

[0109] Adjust the camera so that the first reference point in the installation area is located at the center of the camera's field of view. Then move the camera so that the second reference point in the installation area is also located at the center of the camera's field of view. Record the camera's position C at this time.

[0110] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A construction method for a tree-shaped curved concrete steel-wood composite formwork structure, characterized in that, Includes the following steps: S10: Based on the design requirements, fabricate tree-shaped column steel formwork for tree-shaped curved concrete; S20: Pre-assemble the tree-shaped column steel template and verify its forming dimensions; S30: Based on the shape of the tree-shaped column steel template, make a root shape stamping mold for the tree-shaped curved concrete; S40: The root shape mold is fixed to the ground in the construction area using cement nails; S50: The tree-shaped steel template is fastened into the root shape mold and assembled into shape, and steel reinforcement is arranged on the surface of the formed tree-shaped steel template; S60: Fill the gap between the tree-shaped column steel formwork and the root shape mold with glass glue to form the steel-wood composite formwork structure of the tree-shaped curved concrete; In step S20, when verifying the forming dimensions, an automatic measurement system is used to verify the forming dimensions of the tree-shaped column steel template. The automatic measurement system includes a light source, a camera, and a controller. The light source is used to illuminate the verification environment. The camera is used to take photos of the formed tree-shaped column steel template from different directions. The controller is electrically connected to the camera. The controller is equipped with a memory and a processor. The memory is used to store the photos taken by the camera, and the processor is used to run the photo processing program stored in the memory to obtain the dimensions of the pre-assembled tree-shaped column steel template.

2. The construction method for a tree-shaped curved concrete steel-wood composite formwork structure according to claim 1, characterized in that, When the processor runs the photo processing program, it performs the following steps: The first step is to preprocess the photos taken from the same direction to obtain image data; The second step is to perform coordinate transformation on the image data; The third step is to detect straight lines and arcs in the image data after coordinate transformation; Step 4: Perform size calculations.

3. The construction method for a tree-shaped curved concrete steel-wood composite formwork structure according to claim 2, characterized in that, Preprocessing photos to obtain image data includes the following steps: The first step is grayscale conversion, which transforms the color image into a grayscale image; The second step is to perform Gaussian filtering on the grayscale image to obtain an image with intact edges and high contrast. The third step is to obtain the coarse edge information of the area to be tested through Canny edge detection, and then obtain the image data.

4. The construction method for a tree-shaped curved concrete steel-wood composite formwork structure according to claim 3, characterized in that, The coordinate transformation of the image data includes the following steps: The first step is to accurately locate the position of the camera using a photoelectric encoder, acquire multiple photos, use the image data of the first photo as a reference image, and establish a reference coordinate system based on the reference image. The second step is to convert the coordinates of the image data in the remaining photos into coordinates in the reference coordinate system.

5. The construction method for a tree-shaped curved concrete steel-wood composite formwork structure according to claim 4, characterized in that, The detection of straight lines and arcs in the coordinate-transformed image data includes the following steps: Line and arc detection is performed using a subpixel edge detection algorithm based on cubic spline interpolation and an OpenCV image processing algorithm.

6. The construction method for a tree-shaped curved concrete steel-wood composite formwork structure according to claim 1, characterized in that, Before taking a photo of the formed tree-shaped steel template using a camera in step S20, the camera is first positioned at a reference point. This includes the following steps: Step 1: Select a first reference point and a second reference point on the tree-shaped column steel formwork, ensuring that the first reference point and the second reference point are located in the same shooting direction; Step 2: Move the camera so that the first reference point is within the camera's shooting range, and record the current position A of the camera; move the camera so that the second reference point is within the camera's shooting range, and record the current position B of the camera; Third step: Calculate the angles of the first reference point and the second reference point relative to the camera based on the positions A and B, and adjust the camera according to the angles; Step 4: Locate and record the position C where the camera can simultaneously capture images of the first reference point and the second reference point; Step 5: Record the position C as the reference position for the camera to take pictures in the current shooting direction.

7. The construction method for a tree-shaped curved concrete steel-wood composite formwork structure according to claim 6, characterized in that, The second step, which involves calculating the angles of two reference points relative to the cameras based on their positions and then leveling the cameras according to those angles, specifically comprises the following steps: Based on the difference between position A, position B, and the value returned after computer image processing, the angle required for the first reference point and the second reference point in the construction area to be rotated relative to the camera reference positioning is calculated, and then the camera is adjusted to this angle.

8. The construction method for a tree-shaped curved concrete steel-wood composite formwork structure according to claim 7, characterized in that, The third step, which involves locating and recording the position C where the camera can simultaneously capture images of the first reference point and the second reference point, specifically comprises the following steps: Adjust the camera so that the first reference point in the construction area is located at the center of the camera's field of view. Then move the camera so that the second reference point in the construction area is also located at the center of the camera's field of view. Record the position C of the camera at this time.

9. The construction method for a tree-shaped curved concrete steel-wood composite formwork structure according to claim 1, characterized in that, The molding dimension verification in step S20 includes the following verification contents: Verify the external dimensions of the tree-shaped column steel formwork; verify the connection accuracy between the tree-shaped column steel formwork panels; If the external dimensions or connection accuracy of the tree-shaped steel formwork do not meet the design requirements, the forming dimensions of the out-of-tolerance parts of the tree-shaped steel formwork shall be adjusted to meet the requirements, and the surface of the tree-shaped steel formwork after verification shall be painted.

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