Positioning method, device and storage medium for curtain wall construction

Abstract

The present invention discloses a positioning method, device and storage medium for curtain wall construction, wherein the positioning method for curtain wall construction can construct a main body design model according to a pre-set structural construction drawing, and scan the main body of the construction site to obtain a main body point cloud model; correct the main body design model according to the main body point cloud model to obtain a main body corrected model; create a curtain wall keel design model according to the main body corrected model, extract data of control points of the curtain wall keel design model to obtain keel point data, scan the curtain wall keel installed by a robot according to the keel point data to obtain a curtain wall keel point cloud model; correct the curtain wall keel design model according to the curtain wall keel point cloud model to obtain a curtain wall keel corrected model; create a curtain wall three-dimensional model according to the curtain wall keel corrected model, and obtain data of control points of the curtain wall three-dimensional model to obtain curtain wall point data, thereby solving the problem of difficult positioning during curtain wall construction and installation.

Description

Technical Field

[0001] The present invention relates to the field of construction technology, and in particular to a positioning method, device and storage medium for curtain wall construction. Background Art

[0002] As a new product of modernization, curtain walls play an indispensable role in modern building construction. However, many challenges remain during construction, which, if not properly addressed, could adversely impact the safety of life and property. Therefore, in-depth research into the existing problems and countermeasures in curtain wall design and installation has become increasingly important. During construction, the three-dimensional measurement and positioning of nonlinear curved glass curtain walls, as well as the installation and positioning of glass panels, are challenging, with low precision and difficulty in installation. During prefabrication, large errors in on-site structural construction can easily render curtain wall glass panels impossible to install. Summary of the Invention

[0003] The present invention aims to solve at least one of the technical problems existing in the prior art. To this end, the present invention provides a positioning method and device for curtain wall construction, and a storage medium, which can solve the problem of difficult curtain wall installation and positioning.

[0004] A positioning method for curtain wall construction according to an embodiment of the first aspect of the present invention includes:

[0005] Build the main design model according to the pre-set structural construction drawings, and scan the main body of the construction site to obtain the main point cloud model;

[0006] Correcting the main body design model according to the main body point cloud model to obtain a main body correction model;

[0007] Creating a curtain wall keel design model based on the main body correction model, extracting data of control points of the curtain wall keel design model to obtain keel point data, and scanning the curtain wall keels installed by the robot based on the keel point data to obtain a curtain wall keel point cloud model;

[0008] Correcting the curtain wall keel design model according to the curtain wall keel point cloud model to obtain a curtain wall keel correction model;

[0009] A three-dimensional curtain wall model is created according to the curtain wall keel correction model, and data of control points of the three-dimensional curtain wall model are obtained to obtain curtain wall point data.

[0010] The curtain wall keel correction model according to the embodiment of the present invention has at least the following beneficial effects: the main body design model is corrected by the main body point cloud model so that the main body design model can meet the accuracy requirements, and a main body design model that is more consistent with the on-site main body can be obtained, which helps to improve the accuracy of creating the curtain wall keel design model; the curtain wall keel design model is corrected by the curtain wall keel point cloud model, and a curtain wall keel design model that is more consistent with the on-site curtain wall keel can be obtained, which helps to improve the accuracy of creating the curtain wall three-dimensional model; the curtain wall keel model is created by the main body correction model, and then the curtain wall three-dimensional model is created based on the curtain wall keel correction model. Then, based on the curtain wall point data obtained from the curtain wall three-dimensional model, the model is created and verified multiple times to obtain a high-precision curtain wall three-dimensional model, thereby achieving precise positioning of the curtain wall. In particular, when the curtain wall construction positioning method provided by the present invention is applied to curtain wall curved glass, a high-precision curtain wall curved glass three-dimensional model can be obtained, and the point data of the control points on the curtain wall curved glass three-dimensional model can be easily extracted to solve the problem of difficult positioning of the curtain wall curved glass during construction.

[0011] According to some embodiments of the present invention, the positioning method for curtain wall construction further includes:

[0012] The scanning robot obtains a curtain wall point cloud model after installing the curtain wall according to the curtain wall point data;

[0013] The curtain wall three-dimensional model is corrected according to the curtain wall point cloud model to obtain a curtain wall optimization model.

[0014] According to some embodiments of the present invention, constructing a main body design model according to a preset structural construction drawing and scanning the main body at the construction site to obtain a main body point cloud model includes:

[0015] Extracting design model data of a pre-set structural construction drawing, and constructing the main body design model according to the design model data;

[0016] The main body of the construction site is scanned to obtain point cloud data, and the main body point cloud model is constructed based on the point cloud data of the main body.

[0017] According to some embodiments of the present invention, the subject model is corrected based on the subject point cloud model.

[0018] Obtain the subject correction model, including:

[0019] Performing a deviation review on the subject design model according to the subject point cloud model to obtain a deviation area between the subject design model and the subject point cloud model;

[0020] Marking the deviation area to obtain deviation data;

[0021] Deviation correction is performed on the main body design model according to the deviation data to obtain the main body correction model.

[0022] According to some embodiments of the present invention, performing deviation review on the subject design model based on the subject point cloud model to obtain a deviation area between the subject design model and the subject point cloud model includes:

[0023] Merging the subject design model with the subject point cloud model to obtain a first merged model;

[0024] The main body design model is subjected to a deviation review based on the first merged model to obtain a deviation area between the main body design model and the main body point cloud model.

[0025] According to some embodiments of the present invention, the step of correcting the curtain wall keel design model based on the curtain wall keel point cloud model to obtain a curtain wall keel corrected model includes:

[0026] Performing a deviation review on the curtain wall keel design model according to the curtain wall keel point cloud model to obtain a deviation area between the curtain wall keel design model and the curtain wall keel point cloud model;

[0027] Marking the deviation area to obtain deviation data;

[0028] Deviation correction is performed on the curtain wall keel design model according to the deviation data to obtain the curtain wall keel correction model.

[0029] According to some embodiments of the present invention, the data of the control point position includes:

[0030] Plane coordinate point data and high-level point data.

[0031] According to some embodiments of the present invention, the step of correcting the curtain wall three-dimensional model based on the curtain wall point cloud model to obtain the curtain wall optimization model includes:

[0032] Merging the curtain wall 3D model with the curtain wall point cloud model to obtain a second merged model;

[0033] reviewing the curtain wall three-dimensional model according to the second merged model to obtain a deviation area between the curtain wall point cloud model and the curtain wall three-dimensional model;

[0034] Marking the deviation area to obtain deviation data;

[0035] The curtain wall three-dimensional model is corrected according to the deviation data to obtain a curtain wall optimization model.

[0036] A positioning device for curtain wall construction according to a second embodiment of the present invention includes:

[0037] Memory, used to store programs;

[0038] The processor is used to execute the program stored in the memory. When the processor executes the program stored in the memory, the processor is used to execute the positioning method for curtain wall construction as described above.

[0039] The positioning device for curtain wall construction according to an embodiment of the present invention has at least the following beneficial effects: the processor in the positioning device for curtain wall construction executes the positioning method for curtain wall construction, and the positioning method for curtain wall construction can solve the problem of difficult installation positioning during curtain wall construction. Therefore, the positioning device for curtain wall construction can solve the problem of difficult curtain wall installation positioning.

[0040] A storage medium according to an embodiment of the third aspect of the present invention includes:

[0041] Computer-executable instructions are stored, and the computer-executable instructions are used to execute the positioning method for curtain wall construction as described above.

[0042] Additional aspects and advantages of the present invention will be set forth in part in the description which follows and, in part, will be obvious from the description which follows, or may be learned by practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The present invention will be further described below with reference to the accompanying drawings and embodiments, in which:

[0044] Figure 1 This is a flow chart of a positioning method for curtain wall construction provided by one embodiment of the present invention;

[0045] Figure 2 is a flow chart of a positioning method for curtain wall construction provided by another embodiment of the present invention;

[0046] Figure 3 is a flow chart of a positioning method for curtain wall construction provided by another embodiment of the present invention;

[0047] Figure 4 is a flow chart of a positioning method for curtain wall construction provided by another embodiment of the present invention;

[0048] Figure 5 is a flow chart of a positioning method for curtain wall construction provided by another embodiment of the present invention;

[0049] Figure 6 This is a flow chart of a positioning method for curtain wall construction provided by another embodiment of the present invention.

[0050] Figure 7 This is a flow chart of a positioning method for curtain wall construction provided by another embodiment of the present invention. DETAILED DESCRIPTION

[0051] The following describes embodiments of the present invention in detail. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended only to explain the present invention and are not to be construed as limiting the present invention.

[0052] In the description of the present invention, it should be understood that descriptions involving orientations, such as up, down, front, back, left, right, etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings. They are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, they cannot be understood as limitations on the present invention.

[0053] In the description of the present invention, "several" means more than one, "plurality" means more than two, "greater than," "less than," and "exceed" are understood to exclude the number itself, while "above," "below," and "within" are understood to include the number itself. The use of "first" and "second" in the description is solely for the purpose of distinguishing technical features and should not be construed as indicating or implying relative importance, implicitly specifying the number of the indicated technical features, or implicitly specifying the order of the indicated technical features.

[0054] In the description of the present invention, unless otherwise clearly defined, terms such as setting, installing, and connecting should be understood in a broad sense, and technicians in the relevant technical field can reasonably determine the specific meanings of the above terms in the present invention based on the specific content of the technical solution.

[0055] In the description of the present invention, reference to terms such as "one embodiment," "some embodiments," "illustrative embodiments," "examples," "specific examples," or "some examples" means that the specific features, structures, materials, or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the exemplary expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0056] In recent years, with the emergence of new technologies and materials in the construction industry and the increasing scale of public construction projects, curtain walls, as a key partner for high-rise and super-high-rise buildings, can present diverse shapes and variations under different visual perspectives, and have gradually become one of the main means of expressing designers' artistic inspiration. On-site curtain wall installation at high-rise construction sites primarily utilizes a "building block" construction method. Professional construction personnel use lifting equipment to hoist the curtain wall's supporting structure into place, install it layer by layer in situ at high altitude, and then install the curtain wall panels. As the primary load-bearing support system, component positioning is difficult, requires constant point verification, is time-consuming, and poses significant installation risks.

[0057] Nonlinear curved glass is particularly difficult to locate on-site. Existing technology involves refining the CAD drawings to find three easily located points on the curved glass surface: A, B, and C. The X, Y, and Z values ​​of A, B, and C are then calculated. These three points are then mapped onto the curved glass. A total station is then used to locate A, B, and C on-site. The curved glass is then hoisted to the appropriate location using a crane for installation. The existing technical solutions have the following disadvantages: Finding easily located points A, B, and C is difficult because the curved glass cannot be located, requiring only boundary points. Determining the X, Y, and Z values ​​of A, B, and C using traditional CAD is difficult, and locating the X, Y, and Z values ​​of A, B, and C on-site is tedious.

[0058] Based on this, the present invention provides a positioning method and device, and a storage medium for curtain wall construction. The positioning method for curtain wall construction constructs a main design model according to a pre-set structural construction drawing, scans the main body of the construction site to obtain a main point cloud model, and corrects the main design model according to the main point cloud model to obtain a main correction model. In the process of modeling according to the construction drawings, there will be certain errors. After the modeling is completed, the main design model is corrected by the main point cloud model so that the main design model can meet the accuracy requirements. A main design model that is more in line with the on-site main body can be obtained, which is helpful to improve the accuracy of creating a curtain wall keel design model; according to the main correction The positive model creates a curtain wall keel design model and extracts the control point data of the curtain wall keel design model to obtain the keel point data. The scanning robot installs the curtain wall keel according to the keel point data to obtain the curtain wall keel point cloud model. The curtain wall keel design model is corrected based on the curtain wall keel point cloud model to obtain the curtain wall keel correction model. By correcting the curtain wall keel design model using the curtain wall keel point cloud model, a curtain wall keel design model that is more consistent with the on-site curtain wall keel can be obtained, which helps to improve the accuracy of creating the curtain wall 3D model. The curtain wall keel 3D model is created based on the curtain wall keel correction model, and the control point data of the curtain wall 3D model is obtained to obtain the curtain wall point data. The curtain wall keel model is created through the main body correction model. The curtain wall keel model is created based on the curtain wall keel correction model, and the curtain wall point data is obtained from the curtain wall 3D model. By creating and reviewing the model multiple times, a high-precision three-dimensional model of the curtain wall is obtained, thereby achieving accurate positioning of the curtain wall. In particular, when the positioning method for curtain wall construction provided by the present invention is applied to curtain wall curved glass, a high-precision three-dimensional model of the curtain wall curved glass can be obtained, and the point position data of the control points on the three-dimensional model of the curtain wall curved glass can be easily extracted, thereby solving the problem of difficult positioning of the curtain wall curved glass during construction.

[0059] The embodiments of the present invention are further described below with reference to the accompanying drawings.

[0060] Reference Figure 1 An embodiment of the present invention provides a positioning method for curtain wall construction, which includes but is not limited to step S110, step S120, step S130, step S140, and step S150.

[0061] Step S110 : constructing a main body design model according to a preset structural construction drawing, and scanning the main body at the construction site to obtain a main body point cloud model.

[0062] In one embodiment, BIM software is used to create a 1:1 model based on the architectural and structural construction drawings provided by the design institute, and a design model of the main body of the building, structure, etc. is created. The shape and proportion of the main body design model are completely consistent with the construction blueprint.

[0063] In one embodiment, buildings and structures are distinguished by different colors to facilitate subsequent analysis and comparison.

[0064] In one embodiment, a 3D scanner is used to perform 3D scanning on the outlines of the buildings and structures at the construction site, thereby obtaining a high-precision point cloud model based on the point cloud data and completely consistent with the site.

[0065] Step S120 , correcting the main body design model according to the main body point cloud model to obtain a main body corrected model.

[0066] It should be noted that there will be certain errors in the process of creating a model based on construction drawings. After the scene is completed, the main design model will be corrected so that the created main design model can meet the accuracy requirements.

[0067] The main point cloud model is further processed to remove the interfering point cloud model data outside the main body, and the main point cloud correction model of the construction site area is obtained. The main design model is corrected according to the main point cloud correction model.

[0068] Due to the deviations between the main design model and the main construction site, these deviations will directly affect the deepening and positioning of the curtain wall frame vertical braces, and the installation of the curtain wall vertical braces directly affects the installation of the curtain wall nonlinear curved glass, thereby affecting the construction quality of the curtain wall nonlinear curved glass and material loss. Therefore, reviewing the deviations between the construction site dimensions and the drawing dimensions and correcting these deviations will improve the construction quality of the curtain wall nonlinear curved glass.

[0069] Step S130 , creating a curtain wall keel design model based on the main body correction model, extracting the control point data of the curtain wall keel design model, obtaining keel point data, and scanning the curtain wall keels installed by the robot based on the keel point data to obtain a curtain wall keel point cloud model.

[0070] In one embodiment, a three-dimensional scanner is used to perform three-dimensional scanning on the curtain wall keels installed at the construction site to obtain a high-precision point cloud model of the curtain wall keels.

[0071] In one embodiment, the curtain wall keel point cloud model is processed, for example, point cloud data splicing, point cloud model denoising, point cloud data smoothing, point cloud data interpolation, and point cloud data segmentation processing. The processed curtain wall point cloud model can better reflect the actual installed curtain wall keel.

[0072] Step S140 , correcting the curtain wall keel design model according to the curtain wall keel point cloud model to obtain a curtain wall keel corrected model.

[0073] In one embodiment, BIM software is used to create a curtain wall keel design model based on the main body correction model, and the curtain wall keel design model is deepened and optimized based on the curtain wall keel point cloud model to obtain a curtain wall keel correction model, thereby reducing the impact of the deviation of the main structure size at the construction site on the positioning of the curtain wall keel.

[0074] Step S150 , creating a three-dimensional curtain wall model based on the curtain wall keel correction model, and acquiring data of control points of the three-dimensional curtain wall model to obtain curtain wall point data.

[0075] In one embodiment, BIM software is used to create a three-dimensional curtain wall model based on the curtain wall keel correction model, and the point data of the curtain wall control points are extracted based on the curtain wall three-dimensional model to complete the positioning of the curtain wall before installation.

[0076] Among them, point data includes: plane coordinate point data and high-level point data.

[0077] In one embodiment, extracting the position data of the curtain wall control points based on the curtain wall 3D model is equivalent to decomposing the curtain wall 3D model, and producing a processing and blanking list based on the curtain wall 3D model to perform processing and blanking of the curtain wall.

[0078] Reference Figure 2 Another embodiment of the present invention further provides a positioning method for curtain wall construction, which further includes but is not limited to: step S210 and step S220.

[0079] In step S210, the scanning robot obtains a curtain wall point cloud model by scanning the installed curtain wall according to the curtain wall point data.

[0080] In one embodiment, the free-range robot installs the curtain wall according to the curtain wall point data until the last row of curtain walls, and uses a three-dimensional scanner to scan the curtain wall installed on site to obtain a curtain wall point cloud model.

[0081] Step S220 , correcting the curtain wall three-dimensional model according to the curtain wall point cloud model to obtain an optimized curtain wall model.

[0082] In one embodiment, a model of the last row of curtain walls is obtained based on the curtain wall optimization model, and the point data of the control points of the last row of curtain walls are extracted based on the model of the last row of curtain walls. The robot installs the last row of curtain walls based on the point data of the control points of the last row of curtain walls, so as to eliminate all accumulated errors of the previously installed curtain walls when installing the last row of curtain walls.

[0083] In one embodiment, the curtain wall three-dimensional model is reviewed based on the curtain wall point cloud model to obtain the deviation area between the curtain wall point cloud model and the curtain wall three-dimensional model, the deviation area is marked to obtain deviation data, and the curtain wall three-dimensional model is corrected according to the deviation data to obtain the curtain wall optimization model.

[0084] Another embodiment of the present invention further provides a control method, such as Figure 3 As shown, Figure 3 yes Figure 1 FIG. 1 is a schematic diagram of another embodiment of a detailed process of step S110 in FIG. 1 , wherein step S110 includes but is not limited to:

[0085] Step S310: extracting design model data of a pre-set structural construction drawing and constructing a main body design model according to the design model data;

[0086] Step S320 , scanning the main body of the construction site to obtain point cloud data, and constructing a point cloud model based on the point cloud data of the main body.

[0087] Another embodiment of the present invention further provides a control method, such as Figure 4 As shown, Figure 4 yes Figure 1 FIG. 1 is a schematic diagram of another embodiment of a detailed process of step S120 in FIG. 1 , wherein step S120 includes but is not limited to:

[0088] Step S410: performing a deviation review on the subject design model based on the subject point cloud model to obtain a deviation area between the subject design model and the subject point cloud model;

[0089] Step S420, marking the deviation area to obtain deviation data;

[0090] Step S430 , performing deviation correction on the main body design model according to the deviation data to obtain a main body correction model.

[0091] In one embodiment, a deviation review of a curtain wall keel design model is performed based on a curtain wall keel point cloud model to obtain a deviation area between the curtain wall keel design model and the curtain wall keel point cloud model, the deviation area is marked to obtain deviation data, and the curtain wall keel design model is corrected for deviations based on the deviation data to obtain a curtain wall keel corrected model.

[0092] Another embodiment of the present invention further provides a control method, such as Figure 5 As shown, Figure 5 yes Figure 4 FIG. 5 is a schematic diagram of another embodiment of a detailed process of step S410, wherein step S410 includes but is not limited to:

[0093] Step S510: merging the main body design model and the main body point cloud model to obtain a first merged model;

[0094] Step S520 : performing a deviation review on the main body design model based on the first merged model to obtain a deviation area between the main body design model and the main body point cloud model.

[0095] In one implementation, the main design model and the main point cloud model are merged, and the main design model is comprehensively reviewed based on the merged model. The model features of the subject equipment model and the main point cloud model are obtained for merging, wherein the model features include: elevation of each floor, axis network, verticality of wall columns, degree of convexity and concavity of the facade, pre-embedded points of the structure, etc. By comparing and analyzing the model features of the subject equipment model and the main point cloud model, the deviation area between the main design model and the scanned point cloud model is found, and the area is clearly marked to determine the deviation report. The main design model is corrected according to the deviation report to obtain the main corrected model.

[0096] Another embodiment of the present invention further provides a control method, such as Figure 6 As shown, Figure 6 yes Figure 1 FIG. 1 is a schematic diagram of another embodiment of a detailed process of step S140, wherein step S140 includes but is not limited to:

[0097] Step S610: performing a deviation review on the curtain wall keel design model based on the curtain wall keel point cloud model to obtain a deviation area between the curtain wall keel design model and the curtain wall keel point cloud model;

[0098] Step S620, marking the deviation area to obtain deviation data;

[0099] Step S630 , performing deviation correction on the curtain wall keel design model according to the deviation data to obtain a curtain wall keel correction model.

[0100] It should be noted that by correcting the curtain wall keel design model based on the curtain wall keel point cloud model, a more accurate curtain wall keel correction model that better represents the curtain wall keel at the construction site can be obtained.

[0101] In one embodiment, the curtain wall keel design model is corrected based on the merged model of the curtain wall keel point cloud model and the curtain wall keel design model, so as to obtain a curtain wall keel corrected model that is more accurate and more representative of the curtain wall keel at the construction site.

[0102] In one embodiment, the curtain wall keel design model is merged with the three-dimensionally scanned curtain wall keel point cloud model. Based on the merged model, the curtain wall keel design model and the curtain wall keel point cloud model are compared, the curtain wall keel design model is reviewed, and the deviation areas between the curtain wall keel design model and the point cloud model are corrected to obtain a curtain wall keel corrected model consistent with the construction site.

[0103] Another embodiment of the present invention further provides a control method, such as Figure 7 As shown, Figure 7 yes Figure 2FIG. 1 is a schematic diagram of another embodiment of a detailed process of step S220, wherein step S220 includes but is not limited to:

[0104] Step S710: merging the curtain wall 3D model with the curtain wall point cloud model to obtain a second merged model;

[0105] Step S720: reviewing the curtain wall 3D model based on the second merged model to obtain a deviation area between the curtain wall point cloud model and the curtain wall 3D model;

[0106] Step S730, marking the deviation area to obtain deviation data;

[0107] Step S740: Correct the curtain wall three-dimensional model according to the deviation data to obtain an optimized curtain wall model.

[0108] In one embodiment, the curtain wall 3D model and the curtain wall point cloud model are merged. Based on the merged model, the curtain wall 3D model and the curtain wall point cloud model are compared, the curtain wall 3D model is reviewed, and corrections are performed on areas where deviations occur between the curtain wall 3D model and the curtain wall point cloud model, thereby obtaining a curtain wall optimization model that is consistent with the site. Based on the merged model of the curtain wall point cloud model and the curtain wall 3D model, the curtain wall 3D model is corrected to obtain a curtain wall optimization model that is more accurate and more representative of the curtain wall at the construction site.

[0109] The present invention provides another embodiment, specifically, using BIM software, based on the building and structural construction drawings provided by the design institute, a 1:1 model is created to create design models of the main bodies such as buildings and structures. The main design model is completely consistent with the shape and scale of the construction blueprint, and different colors are used to distinguish the buildings and structures; a 3D scanner is used to perform a 3D scan of the main outlines of the buildings and structures at the construction site, so as to obtain a high-precision main point cloud model based on point cloud data and completely consistent with the site; the main design model is merged with the main point cloud model through the software, and the main point cloud model is further processed to remove the interfering point cloud model data outside the main body to obtain a revised main point cloud model; based on the revised main point cloud model, the main design model is comprehensively reviewed according to the model formed by merging the main point cloud model with the main design model, including: the elevation of each floor, the axis network , verticality of wall columns, degree of convexity and concavity of facades, embedded points of structures, etc., through comparative analysis, find the deviation area between the main design model and the main point cloud model, and clearly mark the area to determine the deviation report; due to the deviation between the main design model and the main body of the construction site, these deviations will directly affect the deepening and positioning of the curtain wall frame vertical braces, and the installation of the curtain wall vertical braces directly affects the installation of the curtain wall, thereby affecting the construction quality of the curtain wall and the loss of materials, so reviewing the deviation between the dimensions of the construction site and the dimensions of the drawings, and correcting these deviations will improve the construction quality of the curtain wall; correct the areas where the main design model has deviations: by finding the marked deviation areas of the main design model, correct the deviation of the main design model according to the main point cloud model, and correct the size of the main design model to achieve complete consistency between the size of the main design model and the size of the main body of the construction site.

[0110] In another embodiment, BIM software is used to create a design model of the curtain wall keel based on the revised main design model, and the curtain wall keel model is deepened and optimized to prevent the deviation of the main structure size at the construction site from affecting the positioning of the curtain wall keel; the curtain wall keel design model after deepening and optimization is decomposed, and a prefabrication processing and blanking list is generated based on the keel design model to perform keel processing and blanking; based on the curtain wall keel design model, the data of the curtain wall keel measurement control points are extracted, and the data of the curtain wall keel control points are imported into a layout robot, and construction is performed by the layout robot. Measure and lay out the on-site keels; install the curtain wall keels according to the points determined by the measurement and layout; use a 3D scanner to perform 3D scanning on the curtain wall keels installed on the construction site to obtain a high-precision curtain wall keel point cloud model; merge the in-depth and optimized curtain wall keel design model with the 3D scanned curtain wall keel point cloud model, compare the curtain wall keel design model with the curtain wall keel point cloud model based on the merged model, review the curtain wall keel design model, and correct the deviation areas between the curtain wall keel design model and the point cloud model to obtain a curtain wall keel model consistent with the construction site.

[0111] In another embodiment, a free-range robot is used to measure and lay out the control points of the curtain wall, and the curtain wall is installed according to the measured and laid out control points until the last row of curtain walls. A three-dimensional scanner is used to scan the curtain wall installed on site to obtain a curtain wall point cloud model, and the curtain wall point cloud model is processed to remove the point cloud data of the last row of curtain walls. The curtain wall three-dimensional model and the curtain wall point cloud model are merged. Based on the merged model, the curtain wall three-dimensional model and the curtain wall point cloud model are compared, and the curtain wall three-dimensional model is reviewed to obtain the deviation area. The deviation area is corrected to obtain a curtain wall correction model consistent with the site. Based on the curtain wall correction model, the last row of the curtain wall is deepened and optimized, and a processing and cutting list is issued based on the model to perform processing and cutting of the curtain wall. The control point data is extracted based on the deepened model of the last row of curtain walls, and the free-range robot is used to measure and lay out. The curtain wall is installed according to the laid out points.

[0112] Another embodiment of the present invention further provides a positioning device for curtain wall construction, which can be used to execute the control method in any of the above embodiments, for example, to execute the above-described positioning device. Figure 1 Steps S110 to S150 of the method, Figure 2 Method steps S210 to S220, Figure 3 Method steps S310 to S320, Figure 4 Steps S410 to S430 of the method, Figure 5 Method steps S510 to S520, Figure 6 Steps S610 to S630 of the method, Figure 7 Method steps S710 to S740 in .

[0113] The positioning device for curtain wall construction of this embodiment, by executing the above-mentioned positioning method for curtain wall construction, can achieve the following effects: the main body design model is corrected using the main body point cloud model so that the main body design model can meet the accuracy requirements, and a main body design model that is more consistent with the on-site main body can be obtained, which helps to improve the accuracy of creating a curtain wall keel design model; the curtain wall keel design model is corrected using the curtain wall keel point cloud model, and a curtain wall keel design model that is more consistent with the on-site curtain wall keel can be obtained, which helps to improve the accuracy of creating a curtain wall three-dimensional model; a curtain wall keel model is created using the main body correction model, and then a curtain wall three-dimensional model is created based on the curtain wall keel correction model; then, based on the curtain wall point data obtained from the curtain wall three-dimensional model, the model is created and verified multiple times to obtain a high-precision curtain wall three-dimensional model, thereby achieving precise positioning of the curtain wall. In particular, when the curtain wall construction positioning method provided by the present invention is applied to curtain wall curved glass, a high-precision curtain wall curved glass three-dimensional model can be obtained, and the point data of the control points on the curtain wall curved glass three-dimensional model can be easily extracted, thereby solving the problem of difficult positioning of the curtain wall curved glass during construction.

[0114] In addition, an embodiment of the present invention further provides a storage medium storing computer executable instructions, which are executed by one or more control processors to enable one or more control processors to execute the positioning method for curtain wall construction in the above method embodiment, for example, to execute the above described Figure 1 Steps S110 to S150 of the method, Figure 2 Method steps S210 to S220, Figure 3 Method steps S310 to S320, Figure 4 Steps S410 to S430 of the method, Figure 5 Method steps S510 to S520, Figure 6 Steps S610 to S630 of the method, Figure 7 Method steps S710 to S740 in .

[0115] Those skilled in the art will appreciate that all or some of the steps and systems in the method disclosed above can be implemented as software, firmware, hardware, and appropriate combinations thereof. Some physical components or all physical components can be implemented as software executed by a processor, such as a central processing unit, a digital signal processor, or a microprocessor, or implemented as hardware, or implemented as an integrated circuit, such as an application-specific integrated circuit. Such software can be distributed on a computer-readable medium, and the computer-readable medium can include computer storage media (or non-transitory media) and communication media (or temporary media). As known to those skilled in the art, the term computer storage media is included in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data) and is volatile and non-volatile, removable, and non-removable. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory, or other memory technology, CD-ROM, digital versatile disks (DVD), or other optical disk storage, magnetic cassettes, magnetic tapes, disk storage, or other magnetic storage devices, or any other medium that can be used to store desired information and can be accessed by a computer. Furthermore, as is well known to those skilled in the art, communication media typically embodies computer-readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media.

[0116] While the embodiments of the present invention have been described in detail above with reference to the accompanying drawings, the present invention is not limited to the embodiments described above. Various modifications may be made within the scope of knowledge possessed by a person skilled in the art without departing from the spirit of the present invention. Furthermore, the embodiments of the present invention and the features thereof may be combined with one another unless there is a conflict.

Claims

1. A positioning method for curtain wall construction, characterized in that: include: Build the main design model according to the pre-set structural construction drawings, and scan the main body of the construction site to obtain the main point cloud model; Correcting the main body design model according to the main body point cloud model to obtain a main body correction model; Creating a curtain wall keel design model based on the main body correction model, extracting data of control points of the curtain wall keel design model to obtain keel point data, and scanning the curtain wall keels installed by the robot based on the keel point data to obtain a curtain wall keel point cloud model; Correcting the curtain wall keel design model according to the curtain wall keel point cloud model to obtain a curtain wall keel correction model; Creating a curtain wall three-dimensional model according to the curtain wall keel correction model, and obtaining data of control points of the curtain wall three-dimensional model to obtain curtain wall point data; Using a robot to install the curtain wall according to the curtain wall point data until the last row of curtain walls, and scanning the curtain wall installed by the robot according to the curtain wall point data to obtain a curtain wall point cloud model; The curtain wall three-dimensional model is corrected according to the curtain wall point cloud model to obtain a curtain wall optimization model, and based on the curtain wall optimization model, the last row of the curtain wall is further optimized to eliminate all accumulated errors of the previously installed curtain walls when installing the last row of curtain walls.

2. The positioning method for curtain wall construction according to claim 1, characterized in that: The method of constructing a main body design model according to a preset structural construction drawing and scanning the main body at the construction site to obtain a main body point cloud model includes: Extracting design model data of a pre-set structural construction drawing, and constructing the main body design model according to the design model data; The main body of the construction site is scanned to obtain point cloud data, and the main body point cloud model is constructed based on the point cloud data of the main body.

3. The positioning method for curtain wall construction according to claim 1, characterized in that: The correcting the main body design model according to the main body point cloud model to obtain the main body corrected model includes: Performing a deviation review on the subject design model according to the subject point cloud model to obtain a deviation area between the subject design model and the subject point cloud model; Marking the deviation area to obtain deviation data; Deviation correction is performed on the main body design model according to the deviation data to obtain the main body correction model.

4. The positioning method for curtain wall construction according to claim 3, characterized in that: The performing deviation review on the subject design model based on the subject point cloud model to obtain a deviation area between the subject design model and the subject point cloud model includes: Merging the subject design model with the subject point cloud model to obtain a first merged model; The main body design model is subjected to a deviation review based on the first merged model to obtain a deviation area between the main body design model and the main body point cloud model.

5. The positioning method for curtain wall construction according to claim 1, characterized in that: The step of correcting the curtain wall keel design model according to the curtain wall keel point cloud model to obtain a curtain wall keel corrected model includes: Performing a deviation review on the curtain wall keel design model according to the curtain wall keel point cloud model to obtain a deviation area between the curtain wall keel design model and the curtain wall keel point cloud model; Marking the deviation area to obtain deviation data; Deviation correction is performed on the curtain wall keel design model according to the deviation data to obtain the curtain wall keel correction model.

6. The positioning method for curtain wall construction according to claim 1, characterized in that: The data of the control points include: Plane coordinate point data and high-level point data.

7. The positioning method for curtain wall construction according to claim 1, characterized in that: The step of correcting the curtain wall three-dimensional model according to the curtain wall point cloud model to obtain the curtain wall optimization model includes: Merging the curtain wall three-dimensional model with the curtain wall point cloud model to obtain a second merged model; Reviewing the curtain wall three-dimensional model based on the second merged model to obtain a deviation area between the curtain wall point cloud model and the curtain wall three-dimensional model; Marking the deviation area to obtain deviation data; The curtain wall three-dimensional model is corrected according to the deviation data to obtain a curtain wall optimization model.

8. A positioning device for curtain wall construction, characterized in that: include: Memory, used to store programs; a processor, configured to execute the program stored in the memory; when the processor executes the program stored in the memory, the processor is configured to perform: The method according to any one of claims 1 to 7.

9. A storage medium, characterized in that: Computer-executable instructions are stored, and the computer-executable instructions are used to perform: The method according to any one of claims 1 to 7.

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