Steel structure pre-assembly technology and steel structure entity assembly construction method

Abstract

The present application relates to steel structure pre-assembly technical field, and is a steel structure pre-assembly technology and steel structure entity assembly construction method.The present application comprises: establishing a CAD data integration system library to collect steel structure component data; using software to make a steel structure model based on the CAD data integration system library, and establishing a three-dimensional system to simulate the first pre-assembly of the model based on drawings and data structure contours; outputting structure data information if the assembly is successful, and using other software to perform secondary assembly; extracting data from the CAD data integration system library to perform entity production assembly if the assembly demonstration is correct; if the assembly fails, performing secondary data comparison, adjusting the data integration library if the data is correct, and then performing cyclic assembly again; if the data is incorrect, correcting the data, and cyclically assembling until entity assembly is completed.The present application has obvious advantages over traditional pre-assembly technology, is accurate, reduces material loss, and simplifies entity processing procedures.

Description

Technical Field

[0001] This invention relates to the field of steel structure pre-assembly technology, and in particular to a steel structure pre-assembly technology and a steel structure physical assembly construction method. Background Technology

[0002] Steel structures are widely used in the construction engineering field due to their high structural strength, good plasticity, and strong seismic performance. With social development and technological progress, buildings are becoming increasingly taller, and the shapes of large-span buildings are becoming increasingly complex, with the emergence of complex and irregular components such as bidirectional bending and torsion members, curved pipe bends, multi-branch pipe intersection nodes, and spatial cast steel nodes. To ensure accurate installation of components, they generally need to be pre-assembled before being shipped to the site. For traditional simple components, manual measurement such as with a tape measure or steel ruler is sufficient to meet the measurement accuracy. However, for complex components, it is difficult to rely on planar dimensional inspection methods to verify the positioning dimensions of the components. The measurement process is prone to errors, making it difficult to guarantee accuracy and ensuring the quality of the components.

[0003] Currently, most pre-assembly of steel structures is done manually, which is tedious and often limited by site, equipment, and schedule conditions, making it impossible or impossible to complete pre-assembly. For example, the measurement deviation of complex multi-angle component connections may be large; it is entirely manual operation, resulting in large errors; resources cannot be reused, resulting in low utilization rate; it is difficult to conduct overall inspection, and its representativeness and guidance are poor.

[0004] Therefore, there is an urgent need for a steel structure pre-assembly technology to solve a series of problems caused by manual physical pre-assembly. Summary of the Invention

[0005] This invention aims to solve the above-mentioned problems, thereby providing a steel structure pre-assembly technology and a steel structure physical assembly construction method with clear steps and efficient operation. Before the steel structure physical assembly, data integration, comparison, verification, and correction are carried out, which has significant advantages over traditional pre-assembly technology. It is more accurate, reduces material waste, simplifies the physical processing flow, and has higher performance.

[0006] The technical solution adopted by the present invention to solve the aforementioned problem is as follows: A steel structure pre-assembly technology includes the following steps: Step 1: Establish a CAD data integration system library and collect data on steel structure components; Step 2: Based on the steel structure component data in the CAD data integration system library, use Tekla Structures software to create a steel structure model. In Tekla Structures, based on the drawings and data structure outline, establish a three-dimensional system to conduct the first simulation pre-assembly of the model. Step 3: If the first simulation pre-assembly in Tekla Structures is successful, the steel structure data information will be output back to the CAD data integration system library in batches, and a second screening will be performed on the original library data. The second-screened data will be output to the parametric modeling software for a second model assembly demonstration. Step 4: After the secondary assembly based on the parametric modeling software is correct, extract the data from the secondary screening information in the CAD data integration system library and carry out the production and assembly of the finished product. Step 5: If the first simulation pre-assembly by Tekla Structures fails, the information in the CAD data integration system library will be compared. If the comparison and identification are correct, the data in the CAD data integration system library will be adjusted, and then the assembly will be repeated. Step 6: If the information in the CAD data integration system library is incorrect, correct the steel structure component data in the CAD data integration system library and cyclically assemble it to the physical assembly.

[0007] As a preferred embodiment, a further technical solution of the present invention is as follows: Preferably, in step two, the use of steel structure component data within the CAD data integration system library includes the following steps: S2-1. Use a CAD data integration system to import component information such as structural features, structural parameters, and structural addition schemes of steel components into the CAD data integration system; S2-2. Filter the component information imported in step S2-1 to obtain the parameter integration output applied within the TeklaStructures software.

[0008] Preferably, in step two, the CAD data integration system performs a single screening, which includes the following steps: S3-1. Divide the system into modules and import multi-module information such as steel structure component feature information, structural parameters, and splicing procedures. S3-2. Each partition module is divided into unit information, and the component product model, size, tonnage, quantity, and product splicing process are statistically analyzed using different unit versions; S3-3. Perform category indexing on the module partitions, directly extract the unit block data within the module, and complete the filtering.

[0009] Preferably, the first simulated pre-assembly in step two includes the following steps: S4-1. Obtaining spatial coordinates of different points on the surface of steel components; S4-2. Based on the coordinate data obtained in step S4-1, compare the model components and check the component errors; S4-3. Based on the error detection results of step S4-2, construct the system and pre-assemble the model within the system.

[0010] Preferably, the secondary filtering and output after data feedback in step three includes the following steps: S5-1. The data segmentation of the first screening process, which was successfully applied to the pre-assembly of Tekla Structures software models, will be set up separately in the CAD data integration system library as a first screening module area. S5-2. For the primary screening module established in step S5-1, the unit block data that can be successfully pre-assembled and simulated will be collected and used as a unified source of secondary screening library. S5-3. Based on the secondary screening results of the library sources in step S5-2, repeat the primary screening steps in step two to perform further module partitioning and unit versioning statistics on the secondary screening library sources.

[0011] Preferably, in the demonstration of secondary model assembly in the parametric modeling software in steps three and four, the selected data are all input from the secondary screening library.

[0012] Preferably, after the second assembly demonstration in step four is correct, the unit sub-format information that can be assembled in the second screening library is exported, and then physical production and assembly are carried out.

[0013] Preferably, if the assembly demonstration fails in step four, the actual assembly process is adjusted until the demonstration is successful, and then the finished product is produced and assembled.

[0014] Preferably, the assembly failure handling in step five includes the following steps: S9-1. If the pre-assembly simulation using Tekla Structures software fails, a screening application data and CAD data integration system library information comparison and identification will be performed. S9-2. If the comparison results in step S9-1 are correct, the steel structure components are adjusted and the system library data is modified simultaneously. S9-3. Based on the modified results of step S9-2, perform the step-by-step assembly again in a loop; S9-4. If there is an error in the identification of the comparison results in step S9-1, the data in the system database will be corrected and the filtered data will be modified simultaneously. S9-5. Based on the modified results of step S9-4, repeat the steps to assemble the physical object.

[0015] A method for assembling and constructing steel structures based on a pre-assembly technology includes the following steps: SA and steel structure component data are extracted sequentially according to coding rules, and key information is extracted from module partitions and unit versions; SB: Number the components of the simulated pre-assembled data and synchronize the computer vector information in the CAD data integration system library; SC: The model is programmed and coded, and pre-assembly 3D construction simulation and lightweight processing are performed respectively; SD sets up fixed-point information at the application site and defines the area module information; SE couples and inserts the steel component construction simulation information package, model lightweighting processing, and site location information into the AR steel structure pre-assembly processing platform to realize the application of virtual data-based finished products. SF, record data on the results of physical site measurement and the application of digitized finished products; SG: Input the data records back to the CAD data integration system library, perform statistics on the overall library, module and unit data, and synchronize the system pre-assembly feedback; SH, the assembly and application of solid components has been completed.

[0016] The present invention, which adopts the above technical solution, has the following prominent features compared with the prior art: This invention features clear steps and efficient operation. Data integration, comparison, verification, and correction are performed before the actual assembly of the steel structure, offering significant advantages over traditional pre-assembly technologies. It is accurate, reduces material waste, simplifies the physical processing flow, and has high performance. It solves the problems of cumbersome manual pre-assembly, which is often limited by site, equipment, and schedule constraints, resulting in significant errors due to manual operation, low resource utilization, difficulty in overall inspection, and poor representativeness and guidance. Furthermore, by using computer software, it offers the significant advantage of computer pre-assembly simulation, covering the entire assembly process of various steel structure components, providing high representativeness and guidance. The CAD data integration system library uses module partitioning and unit-based information classification to efficiently integrate component information. Precise process step positioning ensures a high pass rate for component assembly. During development and construction, it is reusable, resulting in extremely high resource utilization. Based on multi-party computer software simulation of steel structure assembly processing technology, it is suitable for widespread application. Attached Figure Description

[0017] Figure 1 This is a schematic diagram of the process of a steel structure pre-assembly technology according to the present invention; Figure 2 This is a schematic diagram of the primary screening process of the CAD data integration system of the present invention; Figure 3 This is a schematic diagram of the steel structure solid assembly construction method of the present invention; Figure 4 This is a schematic diagram of the vector encoding extraction rules for the CAD data integration system library information of the present invention; Implementation

[0018] The following description of the embodiments will help the public better understand the present invention. However, the specific embodiments provided by the applicant should not and should not be regarded as a limitation on the technical solution of the present invention. Any changes to the definition of components or technical features and / or formal but not substantive changes to the overall structure should be regarded as the scope of protection defined by the technical solution of the present invention.

[0019] See Figure 1 As shown, the present invention provides a steel structure pre-assembly technology, which includes the following steps: Step 1: Establish a CAD data integration system library (CAD & CIMS system library) and collect data on steel structure components; Step 2: Based on the steel structure component data in the CAD data integration system library, use Tekla Structures software to create a steel structure model. In Tekla Structures, based on the drawings and data structure outline, establish a three-dimensional system to conduct the first simulation pre-assembly of the model. Step 3: If the first simulation pre-assembly in Tekla Structures is successful, the steel structure data information will be output back to the CAD data integration system library in batches, and a second screening will be performed on the original library data. The second-screened data will be output to the parametric modeling software for a second model assembly demonstration. Step 4: After the secondary assembly based on the parametric modeling software is correct, extract the data from the secondary screening information in the CAD data integration system library and carry out the production and assembly of the finished product. Step 5: If the first simulation pre-assembly by Tekla Structures fails, the information in the CAD data integration system library will be compared. If the comparison and identification are correct, the data in the CAD data integration system library will be adjusted, and then the assembly will be repeated. Step 6: If the information in the CAD data integration system library is incorrect, correct the steel structure component data in the CAD data integration system library and cyclically assemble it to the physical assembly.

[0020] Furthermore, in step two, the use of steel structure component data within the CAD data integration system library includes the following steps: S2-1. Use a CAD data integration system to import component information such as structural features, structural parameters, and structural addition schemes of steel components into the CAD data integration system; S2-2. Filter the component information imported in step S2-1 to obtain the parameter integration output applied within the TeklaStructures software.

[0021] Further, see Figure 2 As shown, the first screening of CAD data integration system in step two includes the following steps: S3-1. Divide the system into modules and import multi-module information such as steel structure component feature information, structural parameters, and splicing procedures. S3-2. Each partition module is divided into unit information. The component product model, size, tonnage, quantity (raw materials / assembly), and product assembly process are statistically analyzed using different unit versions. S3-3. Perform category indexing on the module partitions, directly extract the unit block data within the module, and complete the filtering.

[0022] Furthermore, the first simulated pre-assembly in step two includes the following steps: S4-1. Obtaining spatial coordinates of different points on the surface of steel components; S4-2. Based on the coordinate data obtained in step S4-1, compare the model components and check the component errors; S4-3. Based on the error detection results of step S4-2, construct the system and pre-assemble the model within the system.

[0023] Furthermore, the secondary filtering and output after data feedback in step three includes the following steps: S5-1. The data segmentation of the first screening process, which was successfully applied to the pre-assembly of Tekla Structures software models, will be set up separately in the CAD data integration system library as a first screening module area. S5-2. For the primary screening module established in step S5-1, the unit block data that can be successfully pre-assembled and simulated will be collected and used as a unified source of secondary screening library. S5-3. Based on the secondary screening results of the library sources in step S5-2, repeat the primary screening steps in step two to perform further module partitioning and unit versioning statistics on the secondary screening library sources.

[0024] Furthermore, in the demonstration of secondary model assembly using the parametric modeling software in steps three and four, the selected data were all input from the secondary screening library.

[0025] Furthermore, after the second assembly demonstration in step four is confirmed to be correct, the unit sub-format information that can be assembled in the second screening library is exported for subsequent physical production and assembly.

[0026] Furthermore, if the assembly demonstration fails in step four, the actual assembly process will be adjusted until the demonstration is successful, at which point the finished product will be manufactured and assembled.

[0027] Furthermore, the assembly failure handling in step five includes the following steps: S9-1. If the pre-assembly simulation using Tekla Structures software fails, a screening application data and CAD data integration system library information comparison and identification will be performed. S9-2. If the comparison results in step S9-1 are correct, the steel structure components are adjusted and the system library data is modified simultaneously. S9-3. Based on the modified results of step S9-2, perform the step-by-step assembly again in a loop; S9-4. If there is an error in the identification of the comparison results in step S9-1, the data in the system database will be corrected and the filtered data will be modified simultaneously. S9-5. Based on the modified results of step S9-4, repeat the steps to assemble the physical object.

[0028] See Figure 3 As shown, a method for assembling and constructing steel structures based on a pre-assembly technology includes the following steps: SA and steel structure component data are extracted sequentially according to coding rules, and key information is extracted from module partitions and unit versions; SB: Number the components of the simulated pre-assembled data and synchronize the computer vector information in the CAD data integration system library; SC: The model is programmed and coded, and pre-assembly 3D construction simulation and lightweight processing are performed respectively; SD sets up fixed-point information at the application site and defines the area module information; SE couples and inserts the steel component construction simulation information package, model lightweighting processing, and site location information into the AR steel structure pre-assembly processing platform to realize the application of virtual data-based finished products. SF, record data on the results of physical site measurement and the application of digitized finished products; SG: Input the data records back to the CAD data integration system library, perform statistics on the overall library, module and unit data, and synchronize the system pre-assembly feedback; SH, the assembly and application of solid components has been completed.

[0029] Further, see Figure 4As shown, the computer vector information in the SB step is based on the information vector encoding extraction rules of the CAD data integration system library, including the component features, structural parameters, assembly methods, and model size, tonnage, quantity, and process extracted from the key information of module partitioning and the key information of unit division. Furthermore, the objects processed in the SC step are all steel component models; Furthermore, the location information setting for the SD step must be within the region module; Furthermore, the SD step area module information includes the complete component's three-dimensional coordinates, key information location points, actual site location, and data product simulation application coordinates; Furthermore, the simulated application of the data product on-site includes the following steps: S1. Using AR technology in the system, the digitized finished product is fed back to the regional modules within the site area; S2. Assemble the digitized steel components as a whole to form a complete virtual full view of the steel components; S3. The virtual full view of the components in step S2 can be further analyzed into individual data finished components. At the same time, the component number and the proposed computer vector information can also be fully presented at the assembly site through AR technology in the system. Furthermore, the data statistics and pre-assembly feedback of the SG step are based on the secondary screening library of steel structure pre-assembly technology. The simulated application data and the screening library are verified and unified and finally recorded. Furthermore, the Tekla Structures software is a three-dimensional (model) simulation software.

[0030] This invention features clear steps and efficient operation. Data integration, comparison, verification, and correction are performed before the actual assembly of the steel structure, offering significant advantages over traditional pre-assembly technologies. It is accurate, reduces material waste, simplifies the physical processing flow, and has high performance. It solves the problems of cumbersome manual pre-assembly, which is often limited by site, equipment, and schedule constraints, resulting in significant errors due to manual operation, low resource utilization, difficulty in overall inspection, and poor representativeness and guidance. Furthermore, by using computer software, it offers the significant advantage of computer pre-assembly simulation, covering the entire assembly process of various steel structure components, providing high representativeness and guidance. The CAD data integration system library uses module partitioning and unit-based information classification to efficiently integrate component information. Precise process step positioning ensures a high pass rate for component assembly. During development and construction, it is reusable, resulting in extremely high resource utilization. Based on multi-party computer software simulation of steel structure assembly processing technology, it is suitable for widespread application.

[0031] The above description is merely a preferred embodiment of the present invention and is not intended to limit the scope of the present invention. All equivalent changes made based on the description and drawings of the present invention are included within the scope of the present invention.

Claims

1. A method for pre-assembling steel structures, characterized in that: Includes the following steps, Step 1: Establish a CAD data integration system library and collect data on steel structure components; Step 2: Based on the steel structure component data in the CAD data integration system library, use Tekla Structures software to create a steel structure model. In Tekla Structures, based on the drawings and data structure outline, establish a three-dimensional system to conduct the first simulation pre-assembly of the model. Step two, the use of steel structure component data within the CAD data integration system library, includes the following steps: S2-1. Use a CAD data integration system to import the structural features, structural parameters, and structural addition scheme component information of steel components into the CAD data integration system; S2-2. Based on the component information imported in step S2-1, filter it to obtain the parameter integration output applied to the TeklaStructures software. In step two, the CAD data integration system performs a single screening, which includes the following steps: S3-1. Divide the system into modules and import multi-module information such as steel structure component feature information, structural parameters, and splicing procedures. S3-2. Each partition module is divided into unit information, and the component product model, size, tonnage, quantity, and product splicing process are statistically analyzed using different unit versions; S3-3. Perform category indexing on module partitions, directly extract unit block data within the module, and complete the filtering; Step 3: If the first simulation pre-assembly in Tekla Structures is successful, the steel structure data information will be output in batches back to the CAD data integration system library, and a second screening will be performed on the original library data. The second-screened data will be output to the parametric modeling software for a second model assembly demonstration. The secondary filtering and output process after data feedback in step three includes the following steps: S5-1. The data segmentation of the first screening process, which was successfully applied to the pre-assembly of Tekla Structures software models, will be set up separately in the CAD data integration system library as a first screening module area. S5-2. For the primary screening module established in step S5-1, the unit block data that can be successfully pre-assembled and simulated will be collected and used as a unified source of secondary screening library. S5-3. Based on the secondary screening results of the library sources in step S5-2, repeat the primary screening steps in step two to further partition and statistically analyze the secondary screening library sources by module and unit. Step 4: After the secondary assembly based on the parametric modeling software is correct, extract the data from the secondary screening information in the CAD data integration system library and carry out the production and assembly of the finished product. Step 5: If the first simulation pre-assembly by Tekla Structures fails, the information in the CAD data integration system library will be compared. If the comparison and identification are correct, the data in the CAD data integration system library will be adjusted, and then the assembly will be repeated. Step 6: If the information in the CAD data integration system library is incorrect, correct the steel structure component data in the CAD data integration system library and cyclically assemble it to the physical assembly.

2. The steel structure pre-assembly method according to claim 1, characterized in that: The first simulated pre-assembly in step two includes the following steps: S4-1. Obtaining spatial coordinates of different points on the surface of steel components; S4-2. Based on the coordinate data obtained in step S4-1, compare the model components and check the component errors; S4-3. Based on the error detection results of step S4-2, construct the system and pre-assemble the model within the system.

3. The steel structure pre-assembly method according to claim 2, characterized in that: In the demonstration of the secondary model assembly using the parametric modeling software in steps three and four, all selected data were input from the secondary screening library.

4. The steel structure pre-assembly method according to claim 3, characterized in that: After the second assembly demonstration in step four is successful, the unit sub-format information that can be assembled in the second screening library is exported for subsequent physical production and assembly.

5. The steel structure pre-assembly method according to claim 4, characterized in that: If the assembly demonstration fails in step four, the actual assembly process will be adjusted until the demonstration is successful, and then the finished product will be manufactured and assembled.

6. The steel structure pre-assembly method according to claim 1 or 2, characterized in that: The assembly failure handling in step five includes the following steps: S9-1. If the pre-assembly simulation using Tekla Structures software fails, a screening application data and CAD data integration system library information comparison and identification will be performed. S9-2. If the comparison results in step S9-1 are correct, the steel structure components are adjusted and the system library data is modified simultaneously. S9-3. Based on the modified results of step S9-2, perform the step-by-step assembly again in a loop; S9-4. If there is an error in the identification of the comparison results in step S9-1, the data in the system database will be corrected and the filtered data will be modified simultaneously. S9-5. Based on the modified results of step S9-4, repeat the steps to assemble the physical object.

7. The steel structure pre-assembly method according to claim 1, characterized in that: The construction method for the physical assembly includes the following steps: SA and steel structure component data are extracted sequentially according to coding rules, and key information is extracted from module partitions and unit versions; SB: Number the components of the simulated pre-assembled data and synchronize the computer vector information in the CAD data integration system library; SC: The model is programmed and coded, and pre-assembly 3D construction simulation and lightweight processing are performed respectively; SD sets up fixed-point information at the application site and defines the area module information; SE couples and inserts the steel component construction simulation information package, model lightweighting processing, and site location information into the AR steel structure pre-assembly processing platform to realize the application of virtual data-based finished products. SF, record data on the results of physical site measurement and the application of digitized finished products; SG: Input the data records back to the CAD data integration system library, perform statistics on the overall library, module and unit data, and synchronize the system pre-assembly feedback; SH, the assembly and application of solid components has been completed.

Images