Multi-beam intersection complex steel bar node optimization method based on digital twinning

Abstract

The invention provides a digital twinning-based multi-beam intersection complex reinforcement node optimization method, which relates to the technical field of constructional engineering, and comprises the following steps of: deeply modeling a multi-beam intersection complex reinforcement node by utilizing a digital twinning technology, and optimizing reinforcement arrangement and a construction mode in combination with a current construction situation. And directly exporting a reinforcing steel bar processing drawing and an engineering quantity list for factory production of reinforcing steel bars, and exporting a construction sequence simulation video for guiding construction. According to the method, model deepening is carried out on the multi-beam intersection complex steel bar joints through the digital twinning technology, high-precision construction simulation is achieved, and the technical reworking problem of complex and dense steel bar joints is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of construction engineering, and in particular to a method for optimizing complex steel bar nodes at the intersection of multiple beams based on digital twins. Background Art

[0002] With the development of regional characteristic construction in cities, many landmark buildings carry regional historical and cultural characteristics, architectural designs are becoming increasingly diversified, and the requirements for building structures are gradually increasing. Technical bottlenecks have been broken through time and time again, creating the first national construction technology. Steel bars, as the skeleton support of important supporting structures of buildings, are related to the stability and safety of buildings. With the gradual breakthroughs in construction technology, the construction technology of steel bars at the intersection of multiple beams is becoming increasingly complex. It is urgent to develop methods for optimizing complex steel bar nodes at the intersection of multiple beams to ensure the quality of engineering construction and the smooth progress of engineering construction.

[0003] At present, the traditional construction of steel bars is to process and tie the steel bars on site according to the design data requirements and the subjective initiative of technical workers. There are cases where the processed steel bars do not meet the actual needs, resulting in a large amount of steel bar material waste. The traditional bending method of steel bars at the intersection of multiple beams is mainly manual bending during the construction and binding process. For nodes with a steel bar diameter of more than 30mm, the use of manual bending not only has low construction efficiency, but also the bending angle and length cannot meet the design requirements. For nodes with high steel bar density and large number, especially when there are inserted steel bars in the center of the structure, the traditional steel bar construction method cannot foresee the reasonable arrangement order, insertion method, binding order, and bending angle of the steel bars, thus failing to meet the design requirements, and ultimately leading to repeated dismantling and rework, resulting in huge waste of manpower and resources and construction delays. Summary of the invention

[0004] In view of the above-mentioned prior art, the present invention proposes an optimization method for complex steel bar nodes at multi-beam intersections based on digital twins.

[0005] The present invention provides a method for optimizing complex steel bar nodes where multiple beams intersect based on digital twins, including using digital twin technology to perform in-depth modeling of complex steel bar nodes where multiple beams intersect, optimizing steel bar layout and construction methods based on the current construction status, directly exporting steel bar processing drawings and bills of quantities for factory production of steel bars, and exporting construction sequence simulation videos for guiding construction.

[0006] Preferably, the specific process includes the following steps: Step 1: Obtain structural design drawings that can be used for construction deepening, including the building, structural plan, elevation, section and large-scale drawings of the parts where the complex steel bar nodes with multiple beams intersect and need to be deepened; Step 2: Determine the scope of complex nodes that need to be deepened, and clean up the structural design drawings in the corresponding area, including the shape and size of the buildings and structures within the scope of the deepened nodes, as well as the geometric parameters (specifications, dimensions, quantity, etc.) of their related components, and finally form a plane drawing of the complex steel bar node where multiple beams intersect; Step 3: Import the plan drawings described in step 2 into BIM modeling, adjust the scale of the drawings in the plan view, and present a 1:1 reference drawing; Step 4: Create different steel bar families required for the node based on the different steel bars mentioned in the structural design drawings, define parameter information (name, specification, material, performance, etc.), and summarize them into a library for layout application during the deepening of the steel bar node model; Step 5: According to the reference drawings described in step 3, combined with the beam and column identification information in the structural design drawings, the structural models of the complex steel bar nodes where multiple beams intersect are established, including the structural beams and the upper and lower layers of associated structural columns; Step 6: Identify the design steel bar specifications, quantity and arrangement of each structural beam and column in the node area through the structural design drawings; Step 7: Input the data identified in step 6 into the steel bar generation interface, including the steel bar type, steel bar diameter, number of rows and columns, and arrangement quantity, automatically generate a steel bar arrangement model, perform collision detection on the steel bar arrangement model, identify arrangement parameters, generate a steel bar collision report, and highlight red for areas that do not meet the design requirements to prompt optimization; Step 8: Determine the feasibility of steel bar construction according to the specification requirements, including steel bar spacing, cover thickness, and bending angle; Step 9: When the result of step 8 is “No”, the steel bar arrangement is optimized in combination with the construction process requirements, including adjusting parameters such as the steel bar spacing, the number of arrangement rows and columns, and the arrangement quantity, to form an optimized steel bar arrangement model; Step 10: Determine the design standard specification for the optimized steel bar arrangement model described in step 9; Step 11: When the judgment of step 10 is "no", the steel bars are replaced according to the design specifications and standards, and the steel bars are further optimized and arranged, and the steel bar arrangement method, the steel bar spacing, the number of arrangement rows and columns, the arrangement quantity and other parameters are adjusted until the design specifications and standards are met and the construction process is feasible; Step 12: Import the steel bar arrangement model judged as "yes" in step 8 or the optimized steel bar arrangement model in step 9 into the FURZOR software, combine the longitudinal bars, stirrups and other components with the timeline module to set the binding time of different parts, automatically generate the construction sequence of each angle and each layer of steel bars in the steel bar node, and finally present the construction sequence simulation animation of the complex steel bar node of multi-beam intersection with the optimal binding sequence of steel bars in different parts; Step 13: By simulating the construction sequence in the animation of the construction sequence described in step 12, the bending point and hook length of the steel bar component are automatically fine-tuned to facilitate the construction and binding of steel bars at the complex steel bar nodes where multiple beams intersect, including relevant information parameters such as steel bar specifications, positions, spacing, bending angles, and steel bar protective layer thickness, to form the final model of the complex steel bar nodes where multiple beams intersect; Step 14: Based on the final model described in step 13, the bill of quantities of the steel bars in the complex steel bar nodes where multiple beams meet is automatically exported, including information such as the number, size, and quantity of the steel bars; Step 15: Based on the final model described in step 13, the final three-dimensional construction drawing and construction simulation animation of the complex steel bar node where multiple beams intersect are automatically generated; Step 16: Import the bill of quantities described in step 14 and the three-dimensional construction drawing described in step 15 into the intelligent processing system for steel bar engineering to perform intelligent factory processing of steel bars; Step 17: Use the three-dimensional construction drawings and construction simulation animations described in step 15 to provide detailed instructions to construction management personnel, so as to achieve the purpose of efficiently guiding the actual construction on site.

[0007] Compared with the prior art, the beneficial effects of the present invention are: 1. The present invention proposes an optimization method for complex steel bar nodes where multiple beams intersect based on digital twins. The digital twin technology is used to deepen the model of complex steel bar nodes where multiple beams intersect, achieve high-precision construction simulation, and avoid the technical rework problem of complex and dense steel bar nodes.

[0008] 2. The method of the present invention has its own parametric properties, and the optimized digital twin model can be directly used for intelligent steel bar production, especially for the processing of steel bars with large diameters that cannot be bent manually. It can realize the factory's advance material preparation and production, while ensuring the quality of steel bar processing and reducing steel bar waste, and achieving the purpose of efficiently guiding actual on-site construction.

[0009] 3. The present invention combines the complex steel bar node model of multi-beam intersection with the time dimension to automatically generate a simulation animation of the steel bar construction sequence, visually guide on-site construction, ensure the smooth progress of the project, and avoid unforeseen construction difficulties caused by the convergence of multi-angle steel bars.

[0010] 4. The present invention uses digital twin technology to digitize and classify the complex steel bar node models where multiple beams intersect, providing large database resource screening and optimal extraction for similar complex node optimization. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] Figure 1 It is an implementation flow chart of an embodiment of the present invention.

[0012] Figure 2 It is a flow chart of steel bar replacement according to an embodiment of the present invention. DETAILED DESCRIPTION

[0013] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further described below in conjunction with specific embodiments.

[0014] Example: Reference Figure 1-Figure 2 , a method for optimizing complex reinforcement nodes of multiple beam intersections based on digital twins, comprising the following steps: Step 1: Obtain structural design drawings that can be used for construction deepening, including the building, structural plan, elevation, section and large-scale drawings of the parts where the complex steel bar nodes with multiple beams intersect and need to be deepened; Step 2: Determine the scope of complex nodes that need to be deepened, and clean up the structural design drawings in the corresponding area, including the shape and size of the buildings and structures within the scope of the deepened nodes, as well as the geometric parameters (specifications, dimensions, quantity, etc.) of their related components, and finally form a plane drawing of the complex steel bar node where multiple beams intersect; Step 3: Import the plan drawings described in step 2 into BIM modeling, adjust the scale of the drawings in the plan view, and present a 1:1 reference drawing; Step 4: Create different steel bar families required for the node based on the different steel bars mentioned in the structural design drawings, define parameter information (name, specification, material, performance, etc.), and summarize them into a library for layout application during the deepening of the steel bar node model; Step 5: According to the reference drawings described in step 3, combined with the beam and column identification information in the structural design drawings, the structural models of the complex steel bar nodes where multiple beams intersect are established, including the structural beams and the upper and lower layers of associated structural columns; Step 6: Identify the design steel bar specifications, quantity and arrangement of each structural beam and column in the node area through the structural design drawings; Step 7: Input the data identified in step 6 into the steel bar generation interface, including the steel bar type, steel bar diameter, number of rows and columns, and arrangement quantity, automatically generate a steel bar arrangement model, perform collision detection on the steel bar arrangement model, identify arrangement parameters, generate a steel bar collision report, and highlight red for areas that do not meet the design requirements to prompt optimization; Step 8: Determine the feasibility of steel bar construction according to the specification requirements, including steel bar spacing, cover thickness, and bending angle; Step 9: When the result of step 8 is “No”, the steel bar arrangement is optimized in combination with the construction process requirements, including adjusting parameters such as the steel bar spacing, the number of arrangement rows and columns, and the arrangement quantity, to form an optimized steel bar arrangement model; Step 10: Determine the design standard specification for the optimized steel bar arrangement model described in step 9; Step 11: When the judgment of step 10 is "no", the steel bars are replaced according to the design specifications and standards, and the steel bars are further optimized and arranged, and the steel bar arrangement method, the steel bar spacing, the number of arrangement rows and columns, the arrangement quantity and other parameters are adjusted until the design specifications and standards are met and the construction process is feasible; Step 12: Import the steel bar arrangement model judged as "yes" in step 8 or the optimized steel bar arrangement model in step 9 into the FURZOR software, combine the longitudinal bars, stirrups and other components with the timeline module to set the binding time of different parts, automatically generate the construction sequence of each angle and each layer of steel bars in the steel bar node, and finally present the construction sequence simulation animation of the complex steel bar node of multi-beam intersection with the optimal binding sequence of steel bars in different parts; Step 13: By simulating the construction sequence in the animation of the construction sequence described in step 12, the bending point and hook length of the steel bar component are automatically fine-tuned to facilitate the construction and binding of steel bars at the complex steel bar nodes where multiple beams intersect, including relevant information parameters such as steel bar specifications, positions, spacing, bending angles, and steel bar protective layer thickness, to form the final model of the complex steel bar nodes where multiple beams intersect; Step 14: Based on the final model described in step 13, the bill of quantities of the steel bars in the complex steel bar nodes where multiple beams meet is automatically exported, including information such as the number, size, and quantity of the steel bars; Step 15: Based on the final model described in step 13, the final three-dimensional construction drawing and construction simulation animation of the complex steel bar node where multiple beams intersect are automatically generated; Step 16: Import the bill of quantities described in step 14 and the three-dimensional construction drawing described in step 15 into the intelligent processing system for steel bar engineering to perform intelligent factory processing of steel bars; Step 17: Use the three-dimensional construction drawings and construction simulation animations described in step 15 to provide detailed instructions to construction management personnel, so as to achieve the purpose of efficiently guiding the actual construction on site.

[0015] The method of this embodiment uses digital twin technology to perform BIM three-dimensional modeling, and realizes design optimization before construction through virtual and real presentation and data simulation analysis application. This embodiment restores the steel bar arrangement in three dimensions according to the original design requirements to verify the feasibility of construction, and optimizes the steel bar arrangement method and steel bar position based on safety and design requirements for working conditions where construction conditions are not met, and replaces steel bar specifications and quantities when necessary. This embodiment uses the three-dimensional model of the steel bar node to digitize the steel bar spacing, bending angle, bending point, bending length and other information, automatically extract the steel bar processing data, ensure the steel bar processing quality, and avoid material waste. Furthermore, this embodiment simulates the steel bar binding sequence in advance to ensure smooth construction, so as to avoid rework caused by the inability to intersperse multi-angle steel bars, and realize the one-time construction of complex steel bar nodes, thereby reducing the waste of resources and effectively controlling the construction quality, construction period and cost.

[0016] The above are only implementation modes of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent schemes made using the contents of the present invention specification, directly or indirectly applied in other related technical fields, are also within the patent protection scope of the present invention.

Claims

1. A method for optimizing complex reinforcement nodes at multi-beam intersections based on digital twins, characterized in that: This includes using digital twin technology to conduct in-depth modeling of complex steel bar nodes where multiple beams intersect, optimizing steel bar layout and construction methods based on the current construction status, directly exporting steel bar processing drawings and bills of quantities for factory production of steel bars, and exporting construction sequence simulation videos to guide construction.

2. The method for optimizing complex steel bar nodes at multiple beam intersections based on digital twins according to claim 1, characterized in that: The specific process includes the following steps: Step 1: Obtain structural design drawings that can be used for construction deepening, including the building, structural plan, elevation, section and large-scale drawings of the parts where the complex steel bar nodes with multiple beams intersect and need to be deepened; Step 2: Determine the scope of complex nodes that need to be deepened, clean up the structural design drawings in the corresponding area, including the shapes and sizes of buildings and structures within the scope of the deepened nodes, as well as the geometric parameters of their related components, and finally form the plane drawings of complex steel bar nodes where multiple beams intersect; Step 3: Import the plan drawings described in step 2 into BIM modeling, adjust the scale of the drawings in the plan view, and present a 1:1 reference drawing; Step 4: Create different steel bar families required for the node according to the different steel bars mentioned in the structural design drawings, define parameter information, and summarize them into a library for layout application during the deepening of the steel bar node model; Step 5: According to the reference drawings described in step 3, combined with the beam and column identification information in the structural design drawings, the structural models of the complex steel bar nodes where multiple beams intersect are established, including the structural beams and the upper and lower layers of associated structural columns; Step 6: Identify the design steel bar specifications, quantity and arrangement of each structural beam and column in the node area through the structural design drawings; Step 7: Input the data identified in step 6 into the steel bar generation interface, including the steel bar type, steel bar diameter, number of rows and columns, and arrangement quantity, automatically generate a steel bar arrangement model, perform collision detection on the steel bar arrangement model, identify arrangement parameters, generate a steel bar collision report, and highlight red for areas that do not meet the design requirements to prompt optimization; Step 8: Determine the feasibility of steel bar construction according to the specification requirements, including steel bar spacing, cover thickness, and bending angle; Step 9: When the result of step 8 is "No", the steel bar arrangement is optimized in combination with the construction process requirements, including adjusting the steel bar spacing, the number of arrangement rows and columns, and the arrangement quantity, to form an optimized steel bar arrangement model; Step 10: Determine the design standard specification for the optimized steel bar arrangement model described in step 9; Step 11: When the judgment result of step 10 is "No", the steel bars are replaced according to the design specifications and standards, and the steel bars are further optimized and arranged, and the steel bar arrangement method, steel bar spacing, arrangement row and column number, and arrangement quantity are adjusted until the design specifications and standards are met and the construction process is feasible; Step 12: Import the steel bar arrangement model judged as "yes" in step 8 or the optimized steel bar arrangement model in step 9 into the FURZOR software, set the binding time of different parts of the longitudinal bars and stirrups in combination with the timeline module, and automatically generate the construction sequence of each angle and each layer of steel bars in the steel bar node, and finally present the construction sequence simulation animation of the complex steel bar node of multi-beam intersection with the optimal binding sequence of steel bars in different parts; Step 13: By simulating the construction sequence in the animation through the construction sequence described in step 12, the bending point and hook length of the steel bar component are automatically fine-tuned to form the final model of the complex steel bar node where multiple beams intersect; Step 14: Based on the final model described in step 13, the bill of quantities of the steel bars in the complex steel bar nodes where multiple beams intersect is automatically derived; Step 15: Based on the final model described in step 13, the final three-dimensional construction drawing and construction simulation animation of the complex steel bar node where multiple beams intersect are automatically generated; Step 16: Import the bill of quantities described in step 14 and the three-dimensional construction drawing described in step 15 into the intelligent processing system for steel bar engineering to perform intelligent factory processing of steel bars; Step 17: Use the three-dimensional construction drawings and construction simulation animations described in step 15 to provide detailed instructions to construction management personnel, so as to achieve the purpose of efficiently guiding the actual construction on site.

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