Method, device and equipment for acquiring information of steel for manufacturing curtain wall, medium and product

Abstract

The invention relates to the technical field of building curtain wall construction, and discloses a curtain wall manufacturing steel information obtaining method, device and equipment, a medium and a product, and the method comprises the steps that a building structure where a curtain wall is located is scanned through scanning equipment, and target point cloud data corresponding to the building structure is obtained; modeling the curtain wall based on the target point cloud data to obtain a curtain wall model; a target steel assembly for constructing the curtain wall is obtained, the target steel assembly is a programmed assembly obtained after modeling is conducted on target steel, and the material of the target steel is a preset material; associating the target steel component with the curtain wall model to generate a target steel component model; and generating steel manufacturing information based on the target steel component model. The target point cloud data is acquired based on the scanning equipment, and the steel manufacturing information is generated through modeling based on the target point cloud data, so that the precision of the steel manufacturing information can be improved, and the machining quality of the target steel component is improved.

Description

Technical Field

[0001] The present disclosure relates to the technical field of building curtain wall construction, and in particular to a method, device, equipment, medium and product for obtaining steel material information for manufacturing curtain walls. Background Art

[0002] In modern architectural design, complex, irregularly shaped, zigzag curtain walls are highly sought after for their unique aesthetic and functional qualities. However, the construction of these curtain walls faces numerous challenges, particularly the limited accuracy of the steel material used in their manufacture.

[0003] Traditional curtain wall measurement and steel component design methods often suffer from insufficient precision, low efficiency, and difficulty accurately reflecting the actual shape when dealing with complex, irregular structures. Furthermore, traditional steel fabrication processes are often based on simplified models or drawings, failing to fully account for the various details and variations in actual construction. This can lead to mismatches and large errors in the fabricated steel components during on-site installation, impacting construction quality and progress. Summary of the Invention

[0004] In view of this, the present disclosure provides a method, device, equipment, medium and product for obtaining steel material information for manufacturing curtain walls, so as to solve the problem of low accuracy of steel material information for manufacturing curtain walls.

[0005] In a first aspect, the present disclosure provides a method for obtaining steel material information for manufacturing a curtain wall, the method comprising:

[0006] Use scanning equipment to scan the building structure where the curtain wall is located to obtain the target point cloud data corresponding to the building structure;

[0007] Model the curtain wall based on the target point cloud data to obtain a curtain wall model;

[0008] Obtaining a target steel component for constructing the curtain wall, wherein the target steel component is a programmed component obtained by modeling the target steel, and the material of the target steel is a preset material;

[0009] Associate the target steel component with the curtain wall model to generate the target steel component model;

[0010] Steel manufacturing information is generated based on the target steel component model, wherein the steel manufacturing information is used to represent descriptive information required for processing the target steel component.

[0011] In an embodiment of the present disclosure, a scanning device is used to scan the building structure where the curtain wall is located to obtain target point cloud data corresponding to the building structure; the curtain wall is modeled based on the target point cloud data to obtain a curtain wall model; a target steel component for constructing the curtain wall is obtained, wherein the target steel component is a programmed component obtained after modeling the target steel, and the material of the target steel is a preset material; the target steel component is associated with the curtain wall model to generate a target steel component model; and steel manufacturing information is generated based on the target steel component model, wherein the steel manufacturing information is used to characterize the descriptive information required for processing the target steel component. Because the embodiment of the present disclosure obtains target point cloud data based on a scanning device and generates steel manufacturing information based on the target point cloud data modeling, it can improve the accuracy of the steel manufacturing information and enhance the processing quality of the target steel component.

[0012] In an optional embodiment, a scanning device is used to scan the building structure where the curtain wall is located to obtain target point cloud data corresponding to the building structure, including:

[0013] Obtain scanning equipment that matches curtain wall related information;

[0014] Set scanning parameters and multiple scanning sites based on curtain wall related information;

[0015] At each scanning site, the building structure is scanned using scanning equipment based on scanning parameters to obtain initial point cloud data;

[0016] The initial point cloud data is spliced to obtain the target point cloud data.

[0017] In the embodiment of the present disclosure, by scanning the building structure where the curtain wall is located based on scanning parameters using scanning equipment at multiple scanning sites, obtaining initial point cloud data, and splicing the initial point cloud data to obtain target point cloud data, the measurement data of the building structure can be accurately obtained, thereby improving the accuracy of steel manufacturing information.

[0018] In an optional embodiment, the building structure includes markers and reference points, wherein the markers are used to locate the point cloud area, and the reference points are used to obtain the point cloud coordinates. The initial point cloud data is spliced to obtain the target point cloud data, including:

[0019] Splicing the initial point cloud data based on the markers and reference points to obtain spliced point cloud data;

[0020] The coordinate system of the spliced point cloud data is converted into the target coordinate system to obtain the target point cloud data.

[0021] In the embodiment of the present disclosure, by splicing the initial point cloud data based on markers and reference points, and converting the coordinate system of the spliced point cloud data into the target coordinate system, the target point cloud data is obtained, which can improve the accuracy and consistency of the target point cloud data and facilitate subsequent modeling based on the target point cloud data.

[0022] In an optional embodiment, obtaining a target steel component for constructing a curtain wall includes:

[0023] Obtain target steel design parameters;

[0024] Construct target steel components based on target steel design parameters.

[0025] In the embodiment of the present disclosure, by constructing a target steel component based on the target steel design parameters, it is possible to model the target steel, improve the accuracy of steel manufacturing information, and enhance the processing quality of the target steel component.

[0026] In an optional embodiment, associating the target steel component with the curtain wall model to generate the target steel component model includes:

[0027] Associate the target steel component with the curtain wall model to generate an initial steel component model;

[0028] Adjusting target steel design parameters in the initial steel component model based on preset parameter design rules to generate multiple candidate steel component models;

[0029] Compare and analyze multiple candidate steel component models to obtain the target steel component model.

[0030] In the disclosed embodiment, by adjusting the target steel design parameters to generate multiple candidate steel component models, and then comparing and analyzing the multiple candidate steel component models to obtain the target steel component model, the rationality and reliability of steel manufacturing information can be improved, and the processing quality of the target steel component can be enhanced.

[0031] In an optional embodiment, generating steel manufacturing information based on the target steel component model includes:

[0032] Generate processing data of the target steel component based on the target steel component model;

[0033] Obtaining list information of target steel components based on processing data;

[0034] Based on the processing data and list information, steel manufacturing information is obtained.

[0035] In the embodiment of the present disclosure, by obtaining steel manufacturing information based on processing data and inventory information, the accuracy of the steel manufacturing information can be improved and the processing quality of the target steel component can be enhanced.

[0036] In a second aspect, the present disclosure provides a device for obtaining steel material information for manufacturing curtain walls, the device comprising:

[0037] The first acquisition module is used to scan the building structure where the curtain wall is located using a scanning device to obtain target point cloud data corresponding to the building structure;

[0038] An obtaining module is used to model the curtain wall based on the target point cloud data to obtain a curtain wall model;

[0039] The second acquisition module is used to acquire a target steel component for constructing the curtain wall, wherein the target steel component is a programmed component obtained by modeling the target steel, and the material of the target steel is a preset material;

[0040] The first generation module is used to associate the target steel component with the curtain wall model to generate a target steel component model;

[0041] The second generation module is used to generate steel manufacturing information based on the target steel component model, wherein the steel manufacturing information is used to represent the description information required for processing the target steel component.

[0042] In a third aspect, the present disclosure provides a computer device comprising: a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing computer instructions, and the processor executing the computer instructions to execute the method for obtaining steel information for manufacturing curtain walls according to the first aspect or any corresponding embodiment thereof.

[0043] In a fourth aspect, the present disclosure provides a computer-readable storage medium having computer instructions stored thereon, the computer instructions being used to enable a computer to execute the method for obtaining steel material information for manufacturing curtain walls according to the first aspect or any corresponding embodiment thereof.

[0044] In a fifth aspect, the present disclosure provides a computer program product, comprising computer instructions for causing a computer to execute the method for obtaining steel material information for manufacturing curtain walls according to the first aspect or any corresponding embodiment thereof. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the specific embodiments of the present disclosure or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the specific embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0046] Figure 1is a flow chart of a method for obtaining steel material information for manufacturing curtain walls according to an embodiment of the present disclosure;

[0047] Figure 2 is a schematic diagram of target point cloud data and a curtain wall model according to an embodiment of the present disclosure;

[0048] Figure 3 is a structural block diagram of a device for acquiring steel material information for manufacturing curtain walls according to an embodiment of the present disclosure;

[0049] Figure 4 Schematic diagram of the hardware structure of the computer device according to the embodiment of the present disclosure. DETAILED DESCRIPTION

[0050] To make the purpose, technical solutions, and advantages of the embodiments of the present disclosure more clear, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are part of the embodiments of the present disclosure, not all of the embodiments. Based on the embodiments of the present disclosure, all other embodiments obtained by those skilled in the art without making creative efforts shall fall within the scope of protection of the present disclosure.

[0051] In modern architectural design, complex, irregularly shaped, zigzag curtain walls are highly sought after for their unique aesthetic and functional qualities. However, the construction of these curtain walls faces numerous challenges, particularly the limited accuracy of the steel material used in their manufacture.

[0052] Traditional curtain wall measurement and steel component design methods often suffer from insufficient precision, low efficiency, and difficulty accurately reflecting the actual shape when dealing with complex, special-shaped structures. Traditional measurement methods, such as the use of tools such as tape measures and levels, can only obtain positional information of a limited number of points, making it difficult to conduct comprehensive and accurate measurements of complex curves and surfaces. Moreover, these methods are susceptible to human error, resulting in reduced reliability of measurement results. In terms of design, traditional two-dimensional design drawings cannot intuitively display the three-dimensional form of complex, special-shaped structures. Designers need to rely on extensive experience and spatial imagination when designing, which not only increases the difficulty of design but also makes design deviations more likely to occur.

[0053] In addition, traditional steel processing processes are usually based on simplified models or drawings, which cannot fully take into account the various details and changes in actual construction. As a result, the processed steel components may not match or have large errors during on-site installation, affecting construction quality and progress.

[0054] In order to solve the above problems, according to an embodiment of the present disclosure, an embodiment of a method for obtaining steel material information for manufacturing curtain walls is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0055] In this embodiment, a method for obtaining steel material information for manufacturing curtain walls is provided. Figure 1 As shown, Figure 1 The figure is a flow chart of a method for obtaining steel material information for manufacturing curtain walls according to an embodiment of the present disclosure. The flow chart can be applied to a server and includes the following steps:

[0056] Step S101: Scan the building structure where the curtain wall is located using a scanning device to obtain target point cloud data corresponding to the building structure.

[0057] Optionally, in the embodiment of the present disclosure, the scanning device may be a three-dimensional laser scanner, and the target point cloud data refers to the scanning measurement data of the building structure. Figure 2 As shown, a point cloud is a form of 3D data representation, consisting of a large number of points, each of which contains the 3D coordinate information of the building structure's surface. The target point cloud data can be visualized as a point cloud image. A point cloud image is a granular visualization composed of a large number of discrete points, which can depict the actual form of the building structure and reflect its spatial position and outline. Curtain walls refer to the exterior wall enclosure within a building structure.

[0058] Step S102: Modeling the curtain wall based on the target point cloud data to obtain a curtain wall model.

[0059] Optionally, in the embodiment of the present disclosure, the curtain wall model refers to a three-dimensional model of the curtain wall. Figure 2 As shown in the figure, the curtain wall model is the visualization result after processing, integrating and structuring the target point cloud data. By modeling based on the target point cloud data, the discrete point cloud information can be converted into an intuitive curtain wall model with complete geometric shapes and topological relationships.

[0060] Specifically, after obtaining the target point cloud data, the server uses a modeling tool (such as A software) and modeling techniques such as curve fitting, surface reconstruction, and solid modeling to input the target point cloud data into the modeling tool, perform three-dimensional modeling on the shape and structure of the curtain wall, and obtain a curtain wall model.

[0061] In addition, after establishing the curtain wall model, the server can also check the integrity, accuracy, topological relationship, etc. of the curtain wall model. If problems are found, the curtain wall model will be corrected and optimized (such as reducing the number of model faces, simplifying the model structure, removing unnecessary details, optimizing the model's geometric shape, etc.) to ensure that the curtain wall model meets the design requirements.

[0062] In a specific example, the server uses software A, curve fitting and surface reconstruction technology to establish a three-dimensional model of the curtain wall according to the target point cloud data to obtain a curtain wall model.

[0063] Step S103 , obtaining a target steel component for constructing the curtain wall, wherein the target steel component is a programmed component obtained by modeling the target steel, and the material of the target steel is a preset material.

[0064] Optionally, in the embodiment of the present disclosure, the target steel component refers to a programmed component obtained after modeling the target steel, wherein the target steel may be refined steel, hot-rolled carbon structural steel, weathering steel, etc., and the material of the target steel is a preset material, which may be carbon steel, alloy steel, stainless steel, etc.

[0065] Specifically, the server can use modeling tools (such as plug-in B) to model the target steel: first, according to the design requirements of the curtain wall (such as bearing capacity, appearance requirements, use environment and other factors), determine the type and material of the target steel, and then determine the design parameters of the target steel (such as shape, size, material, connection method, etc.), and finally use the modeling tool to model the target steel according to the design parameters to obtain the target steel component.

[0066] It should be noted that the B plug-in is a parametric design plug-in based on the A platform. It provides a visual programming environment that can create and modify design models by connecting components and setting parameters.

[0067] Step S104: Associating the target steel component with the curtain wall model to generate a target steel component model.

[0068] Optionally, in the embodiment of the present disclosure, the target steel component model refers to an association model of the target steel component and the curtain wall model.

[0069] Specifically, the server uses a modeling tool (such as plug-in B) to associate the target steel component with the curtain wall model: uses the modeling tool to establish a parameter association between the target steel component and the curtain wall model, combines the target steel component with the curtain wall model, and generates a target steel component model.

[0070] Step S105 : generating steel manufacturing information based on the target steel component model, wherein the steel manufacturing information is used to represent description information required for processing the target steel component.

[0071] Optionally, in the embodiment of the present disclosure, steel manufacturing information refers to descriptive information required for processing the target steel component.

[0072] Specifically, the server can use modeling software (such as software A) to directly export steel manufacturing information through the data information of the target steel component model, or use plug-ins or secondary development tools to process the target steel component model to obtain steel manufacturing information. It can also build an information management system connected to the modeling software, and enter the relevant information of the target steel component model into the information management system in real time during the modeling stage, and use the information management system to classify, organize and store the data to generate steel manufacturing information.

[0073] In addition, after obtaining the steel manufacturing information, the server can also send the steel manufacturing information to the corresponding processing object (such as processing personnel or processing plants), and coordinate and communicate with the processing object to ensure that the processing object understands the design requirements and processing technology. It can also monitor and manage the processing progress and quality during the processing process and solve problems in a timely manner.

[0074] In an embodiment of the present disclosure, a scanning device is used to scan the building structure where the curtain wall is located to obtain target point cloud data corresponding to the building structure; the curtain wall is modeled based on the target point cloud data to obtain a curtain wall model; a target steel component for constructing the curtain wall is obtained, wherein the target steel component is a programmed component obtained after modeling the target steel, and the material of the target steel is a preset material; the target steel component is associated with the curtain wall model to generate a target steel component model; and steel manufacturing information is generated based on the target steel component model, wherein the steel manufacturing information is used to characterize the descriptive information required for processing the target steel component. Because the embodiment of the present disclosure obtains target point cloud data based on a scanning device and generates steel manufacturing information based on the target point cloud data modeling, it can improve the accuracy of the steel manufacturing information and enhance the processing quality of the target steel component.

[0075] In some optional implementations, scanning the building structure where the curtain wall is located using a scanning device to obtain target point cloud data corresponding to the building structure includes:

[0076] Obtain scanning equipment that matches curtain wall related information;

[0077] Set scanning parameters and multiple scanning sites based on curtain wall related information;

[0078] At each scanning site, the building structure is scanned using scanning equipment based on scanning parameters to obtain initial point cloud data;

[0079] The initial point cloud data is spliced to obtain the target point cloud data.

[0080] Optionally, in an embodiment of the present disclosure, curtain wall related information may include but is not limited to factors such as the shape, size, accuracy requirements and on-site environment of the curtain wall. Scanning parameters may include scanning speed, scanning time, etc. The initial point cloud data refers to the measurement data obtained by the scanning device.

[0081] Specifically, the server first selects a suitable scanning device based on the curtain wall related information. For example, a three-dimensional laser scanner is suitable for building structures with high accuracy requirements, small ranging range and complex on-site environment.

[0082] The server then sets scanning parameters and multiple scanning sites based on the curtain wall-related information. Since higher resolutions yield more detailed point cloud data but increase scanning time and data volume, while lower resolutions can result in insufficient data accuracy, appropriate scanning parameters must be set based on the curtain wall-related information. Scanning site settings include location and number. The server must ensure that the scanning sites cover all critical areas of the building structure while avoiding blind spots and missed scans. Generally speaking, for large structures, the server should set up multiple scanning sites, with a certain degree of overlap between adjacent sites to ensure the integrity and accuracy of the acquired point cloud data.

[0083] After determining the scanning equipment, scanning parameters, and scanning sites, the server follows the planned scanning site sequence, ensuring the scanner maintains an appropriate distance and angle from the building surface. At each scanning site, the scanning equipment scans the building structure based on the scanning parameters to obtain initial point cloud data. During the scanning process, the server monitors the scan data quality in real time and promptly rescans any anomalies.

[0084] Finally, the server imports the initial point cloud data into a point cloud processing tool (such as C software, D software, etc.) and uses the point cloud processing tool to splice the initial point cloud data to obtain the target point cloud data.

[0085] In addition, after acquiring the initial point cloud data, the server can use point cloud processing tools to preprocess the data. For example, filtering algorithms and statistical analysis can be used to remove noise points in the point cloud data. These noise points may be caused by interference in the scanning environment, reflections on the object surface, and other factors. After stitching the initial point cloud data, the server can also use point cloud processing tools to streamline the stitched point cloud data, removing redundant data points while maintaining the shape and characteristics of the model.

[0086] In one specific example, a curtain wall with a total area of approximately 5,000 square meters features an irregular shape composed of multiple broken lines. For the building structure where this curtain wall is located, the server selected a 3D laser scanner with a measurement accuracy of up to 1mm, meeting the high-precision measurement requirements of the building structure. Based on the shape and size of the curtain wall, the server planned 50 scanning stations with a 30% overlap between adjacent stations. The server also set a scanning time of 5 minutes per station, a scanning speed of 1 million points per second, and a scanning range of 100 meters. The server then scanned the area in the planned sequence of scanning stations, completing the initial point cloud data acquisition in approximately 4 hours.

[0087] In this example, after obtaining the initial point cloud data, the server imports the initial point cloud data into the C software, uses the median filtering algorithm to remove noise points, and retains approximately 100 million valid data points. The initial point cloud data is then spliced, and the splicing error is controlled within 2mm. The spliced point cloud data is then streamlined, retaining approximately 50 million data points.

[0088] In the embodiment of the present disclosure, by scanning the building structure where the curtain wall is located based on scanning parameters using scanning equipment at multiple scanning sites, obtaining initial point cloud data, and splicing the initial point cloud data to obtain target point cloud data, the measurement data of the building structure can be accurately obtained, thereby improving the accuracy of steel manufacturing information.

[0089] In some optional embodiments, the building structure includes markers and reference points, wherein the markers are used to locate the point cloud area, and the reference points are used to obtain the point cloud coordinates. The initial point cloud data is spliced to obtain the target point cloud data, including:

[0090] Splicing the initial point cloud data based on the markers and reference points to obtain spliced point cloud data;

[0091] The coordinate system of the spliced point cloud data is converted into the target coordinate system to obtain the target point cloud data.

[0092] Optionally, in the embodiment of the present disclosure, while setting scanning parameters and multiple scanning sites based on curtain wall associated information, the server also evenly sets multiple markers and multiple reference points on the building structure, wherein the markers are used to locate the point cloud area and the reference points are used to obtain the point cloud coordinates.

[0093] Specifically, the server uses point cloud processing tools (such as C software, D software, etc.) to accurately match and convert the coordinates of the initial point cloud data according to reference points and markers, and uses point cloud processing tools to splice the initial point cloud data obtained from different scanning sites to obtain spliced point cloud data. Finally, the coordinates of the spliced point cloud data are recalculated and adjusted according to the rules of the target coordinate system (such as the architectural design coordinate system, etc.) to obtain the target point cloud data.

[0094] In the embodiment of the present disclosure, by splicing the initial point cloud data based on markers and reference points, and converting the coordinate system of the spliced point cloud data into the target coordinate system, the target point cloud data is obtained, which can improve the accuracy and consistency of the target point cloud data and facilitate subsequent modeling based on the target point cloud data.

[0095] In some optional embodiments, obtaining a target steel component for constructing a curtain wall includes:

[0096] Obtain target steel design parameters;

[0097] Construct target steel components based on target steel design parameters.

[0098] Optionally, in the embodiment of the present disclosure, the target steel design parameters may include but are not limited to the shape, size, material, connection method, etc. of the target steel component.

[0099] Specifically, the server utilizes modeling software (such as plug-in B) to model the target steel according to the target steel design parameters and constructs corresponding target steel components.

[0100] In a specific example, the server first determines that the shape of the target steel component is a trapezoid, the dimensional parameters include length, width, height, thickness, etc., and the connection method is welding. Then, the target steel is modeled using the B plug-in to construct the corresponding target steel component.

[0101] In the embodiment of the present disclosure, by constructing a target steel component based on the target steel design parameters, it is possible to model the target steel, improve the accuracy of steel manufacturing information, and enhance the processing quality of the target steel component.

[0102] In some optional implementations, associating the target steel component with the curtain wall model to generate the target steel member model includes:

[0103] Associate the target steel component with the curtain wall model to generate an initial steel component model;

[0104] Adjusting target steel design parameters in the initial steel component model based on preset parameter design rules to generate multiple candidate steel component models;

[0105] Compare and analyze multiple candidate steel component models to obtain the target steel component model.

[0106] Optionally, in the disclosed embodiment, the preset parameter design rules include, but are not limited to, design rules and constraints for the target steel component design parameters (e.g., strength requirements, deformation restrictions, installation space restrictions, etc. of the target steel component). The initial steel component model is a steel component model obtained by associating the target steel component with the curtain wall model according to the target steel design parameters. The candidate steel component model is a steel component model obtained by adjusting the target steel design parameters in the initial steel component model. The target steel component model is the optimal steel component model selected from multiple candidate steel component models.

[0107] Specifically, after obtaining the target steel component and curtain wall model, the server uses modeling software (such as the B plug-in) to associate the target steel component with the curtain wall model to obtain an initial steel component model. The server then adjusts the target steel design parameters in the initial steel component model according to preset parameter design rules, generating multiple candidate steel component models of different specifications and shapes. Finally, the server compares and analyzes these candidate steel component models and selects the candidate with the best performance as the target steel component model.

[0108] In one specific example, the server used plugin B to associate the target steel component with the curtain wall model, setting the target steel component's strength requirement to a yield strength of no less than 235 MPa and limiting the installation space to a 5 mm installation gap. The server then used plugin B to adjust the target steel design parameters in the initial steel component model based on these preset parameter design rules, generating multiple candidate steel component models of varying specifications and shapes. These candidate models were then compared and analyzed, with the candidate with the best performance selected as the target steel component model. This saved approximately 10% of steel usage while still meeting the design requirements.

[0109] In the disclosed embodiment, by adjusting the target steel design parameters to generate multiple candidate steel component models, and then comparing and analyzing the multiple candidate steel component models to obtain the target steel component model, the rationality and reliability of steel manufacturing information can be improved, and the processing quality of the target steel component can be enhanced.

[0110] In some optional implementations, generating steel manufacturing information based on the target steel component model includes:

[0111] generating processing data of the target steel component based on the target steel component model;

[0112] Obtaining list information of target steel components based on processing data;

[0113] Based on the processing data and list information, steel manufacturing information is obtained.

[0114] Optionally, in the embodiment of the present disclosure, steel manufacturing information includes but is not limited to processing data and list information, etc., wherein the processing data may be processing drawings, such as plan views, cross-section views, node details, etc., and the processing data is clearly marked with dimensions, tolerances, materials and other information, and the list information includes component number, name, quantity, specifications, materials and other information.

[0115] Specifically, the server uses modeling software (such as software A) to generate processing data based on the data information of the target steel component model, and obtains the inventory information of the target steel component based on the processing data. Then, based on the processing data and the inventory information, the server obtains the steel manufacturing information. The server can use the processing data and the inventory information as the steel manufacturing information separately, or combine the processing data and the inventory information to obtain the steel manufacturing information, and then send the steel manufacturing information to the corresponding processing object (such as the processing personnel or processing plant).

[0116] In the embodiment of the present disclosure, by obtaining steel manufacturing information based on processing data and inventory information, the accuracy of the steel manufacturing information can be improved and the processing quality of the target steel component can be enhanced.

[0117] This embodiment also provides a device for acquiring steel material information for curtain wall manufacturing. This device is used to implement the above-mentioned embodiments and preferred implementations, and details already described will not be repeated. As used below, the term "module" may refer to a combination of software and / or hardware that implements a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementation using hardware, or a combination of software and hardware, is also possible and contemplated.

[0118] This embodiment provides a steel material information acquisition device for manufacturing curtain walls, such as Figure 3 Shown, including:

[0119] The first acquisition module 301 is used to scan the building structure where the curtain wall is located using a scanning device to obtain target point cloud data corresponding to the building structure;

[0120] An obtaining module 302 is used to model the curtain wall based on the target point cloud data to obtain a curtain wall model;

[0121] The second acquisition module 303 is used to acquire a target steel component for constructing the curtain wall, wherein the target steel component is a programmed component obtained by modeling the target steel, and the material of the target steel is a preset material;

[0122] The first generation module 304 is used to associate the target steel component with the curtain wall model to generate a target steel component model;

[0123] The second generating module 305 is used to generate steel manufacturing information based on the target steel component model, wherein the steel manufacturing information is used to represent the description information required for processing the target steel component.

[0124] In an embodiment of the present disclosure, a scanning device is used to scan the building structure where the curtain wall is located to obtain target point cloud data corresponding to the building structure; the curtain wall is modeled based on the target point cloud data to obtain a curtain wall model; a target steel component for constructing the curtain wall is obtained, wherein the target steel component is a programmed component obtained after modeling the target steel, and the material of the target steel is a preset material; the target steel component is associated with the curtain wall model to generate a target steel component model; and steel manufacturing information is generated based on the target steel component model, wherein the steel manufacturing information is used to characterize the descriptive information required for processing the target steel component. Because the embodiment of the present disclosure obtains target point cloud data based on a scanning device and generates steel manufacturing information based on the target point cloud data modeling, it can improve the accuracy of the steel manufacturing information and enhance the processing quality of the target steel component.

[0125] In some optional implementations, the first acquisition module 301 includes:

[0126] A first acquisition submodule is used to acquire a scanning device that matches the curtain wall associated information;

[0127] The setting submodule is used to set scanning parameters and multiple scanning sites based on the curtain wall related information;

[0128] The second acquisition submodule is used to scan the building structure at each scanning site using a scanning device based on the scanning parameters to obtain initial point cloud data;

[0129] The first submodule is used to stitch the initial point cloud data to obtain the target point cloud data.

[0130] In some optional implementations, the first obtaining submodule includes:

[0131] A first obtaining unit is used to splice initial point cloud data based on the marker and the reference point to obtain spliced point cloud data;

[0132] The second obtaining unit is used to convert the coordinate system of the spliced point cloud data into a target coordinate system to obtain target point cloud data.

[0133] In some optional implementations, the second acquisition module 303 includes:

[0134] The third acquisition submodule is used to obtain the target steel design parameters;

[0135] The construction submodule is used to construct the target steel component based on the target steel design parameters.

[0136] In some optional implementations, the first generating module 304 includes:

[0137] The first generation submodule is used to associate the target steel component with the curtain wall model to generate an initial steel component model;

[0138] The second generation submodule is used to adjust the target steel design parameters in the initial steel component model based on the preset parameter design rules to generate multiple candidate steel component models;

[0139] The second submodule is used to compare and analyze multiple candidate steel component models to obtain a target steel component model.

[0140] In some optional implementations, the second generation module 305 includes:

[0141] The third generation submodule is used to generate processing data of the target steel component based on the target steel component model;

[0142] The third obtaining submodule is used to obtain the list information of the target steel component based on the processing data;

[0143] The fourth obtaining submodule is used to obtain steel manufacturing information based on processing data and list information.

[0144] The further functional description of each of the above modules and units is the same as that of the above corresponding embodiments and will not be repeated here.

[0145] The steel material information acquisition device for manufacturing curtain walls in this embodiment is presented in the form of a functional unit, where the unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and memory that executes one or more software or fixed programs, and / or other devices that can provide the above functions.

[0146] The present disclosure also provides a computer device having the above Figure 3 The steel material information acquisition device for manufacturing curtain wall is shown.

[0147] See also Figure 4 , Figure 4 is a structural diagram of a computer device provided by an optional embodiment of the present disclosure, such as Figure 4As shown, the computer device includes: one or more processors 10, memory 20, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. Various components utilize different buses to communicate with each other and can be installed on a common mainboard or installed in other ways as needed. The processor can process the instructions executed in the computer device, including instructions stored in the memory or on the memory to display the graphical information of the GUI on an external input / output device (such as, a display device coupled to the interface). In some optional embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Equally, multiple computer devices can be connected, and each device provides part of the necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system). Figure 4 A processor 10 is taken as an example.

[0148] The processor 10 may be a central processing unit, a network processor, or a combination thereof. The processor 10 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit, a programmable logic device, or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general purpose array logic, or any combination thereof.

[0149] The memory 20 stores instructions that can be executed by at least one processor 10, so that the at least one processor 10 executes the method shown in the above embodiment.

[0150] The memory 20 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and application programs required for at least one function; the data storage area may store data created based on the use of the computer device, etc. In addition, the memory 20 may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some optional embodiments, the memory 20 may optionally include a memory remotely located relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0151] The memory 20 may include a volatile memory, such as a random access memory; the memory may also include a non-volatile memory, such as a flash memory, a hard disk or a solid-state drive; the memory 20 may also include a combination of the above types of memory.

[0152] The computer device further includes a communication interface 30 for the computer device to communicate with other devices or a communication network.

[0153] The embodiments of the present disclosure also provide a computer-readable storage medium. The above-mentioned method according to the embodiments of the present disclosure can be implemented in hardware, firmware, or implemented as a computer code that can be recorded in a storage medium, or implemented as a computer code that is originally stored in a remote storage medium or a non-temporary machine-readable storage medium and downloaded through a network and will be stored in a local storage medium, so that the method described herein can be stored in such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only storage memory, a random access memory, a flash memory, a hard disk or a solid-state drive, etc.; further, the storage medium can also include a combination of the above-mentioned types of memory. It can be understood that a computer, a processor, a microprocessor controller or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by a computer, a processor or hardware, the method shown in the above embodiment is implemented.

[0154] A portion of the present disclosure may be applied as a computer program product, such as a computer program instruction, which, when executed by a computer, can call or provide the method and / or technical solution according to the present disclosure through the operation of the computer. Those skilled in the art should understand that the form in which the computer program instruction exists in a computer-readable medium includes but is not limited to a source file, an executable file, an installation package file, etc. Accordingly, the way in which the computer program instruction is executed by the computer includes but is not limited to: the computer directly executes the instruction, or the computer compiles the instruction and then executes the corresponding compiled program, or the computer reads and executes the instruction, or the computer reads and installs the instruction and then executes the corresponding installed program. Here, the computer-readable medium can be any available computer-readable storage medium or communication medium that can be accessed by the computer.

[0155] Although the embodiments of the present disclosure have been described with reference to the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present disclosure, and such modifications and variations are all within the scope defined by the appended claims.

Claims

1. A method for obtaining steel material information for manufacturing curtain walls, characterized in that: The method comprises: Scanning the building structure where the curtain wall is located using a scanning device to obtain target point cloud data corresponding to the building structure; Modeling the curtain wall based on the target point cloud data to obtain a curtain wall model; Obtaining a target steel component for constructing the curtain wall, wherein the target steel component is a programmed component obtained by modeling the target steel, and the material of the target steel is a preset material; Associating the target steel component with the curtain wall model to generate a target steel component model; Steel manufacturing information is generated based on the target steel component model, wherein the steel manufacturing information is used to represent descriptive information required for processing the target steel component.

2. The method according to claim 1, characterized in that The method of scanning the building structure where the curtain wall is located by using a scanning device to obtain target point cloud data corresponding to the building structure includes: Acquire the scanning device that matches the curtain wall associated information; Setting scanning parameters and multiple scanning sites based on the curtain wall associated information; Scanning the building structure using the scanning device based on the scanning parameters at each scanning site to obtain initial point cloud data; The initial point cloud data are spliced to obtain the target point cloud data.

3. The method according to claim 2, characterized in that The building structure includes a marker and a reference point, wherein the marker is used to locate a point cloud area, and the reference point is used to obtain point cloud coordinates. The initial point cloud data is spliced to obtain the target point cloud data, including: splicing the initial point cloud data based on the marker and the reference point to obtain spliced point cloud data; The coordinate system of the spliced point cloud data is converted into a target coordinate system to obtain the target point cloud data.

4. The method according to claim 1, wherein The step of obtaining a target steel component for constructing the curtain wall comprises: Obtain target steel design parameters; The target steel component is constructed based on the target steel design parameters.

5. The method according to claim 4, characterized in that The step of associating the target steel component with the curtain wall model to generate a target steel component model includes: Associating the target steel component with the curtain wall model to generate an initial steel component model; adjusting the target steel design parameters in the initial steel component model based on preset parameter design rules to generate a plurality of candidate steel component models; The plurality of candidate steel component models are compared and analyzed to obtain the target steel component model.

6. The method according to claim 1, characterized in that The generating of steel manufacturing information based on the target steel component model includes: generating processing data of the target steel component based on the target steel component model; Obtaining inventory information of the target steel component based on the processing data; The steel material manufacturing information is obtained based on the processing data and the inventory information.

7. A device for acquiring steel material information for manufacturing curtain walls, characterized in that: The device comprises: A first acquisition module is configured to scan the building structure where the curtain wall is located using a scanning device to obtain target point cloud data corresponding to the building structure; An obtaining module, configured to model the curtain wall based on the target point cloud data to obtain a curtain wall model; A second acquisition module is configured to acquire a target steel component for constructing the curtain wall, wherein the target steel component is a programmed component obtained by modeling the target steel, and the material of the target steel is a preset material; A first generating module is used to associate the target steel component with the curtain wall model to generate a target steel component model; The second generating module is configured to generate steel manufacturing information based on the target steel component model, wherein the steel manufacturing information is used to represent descriptive information required for processing the target steel component.

8. A computer device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the method for obtaining steel information for manufacturing curtain walls according to any one of claims 1 to 6 by executing the computer instructions.

9. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the method for obtaining steel material information for manufacturing curtain walls according to any one of claims 1 to 6.

10. A computer program product, characterized in that The method comprises computer instructions for causing a computer to execute the method for obtaining steel material information for manufacturing curtain walls according to any one of claims 1 to 6.

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