Intelligent construction method and device for full-house red scaffold

Abstract

The application provides a full-dormant scaffold intelligent construction method and device, wherein the method comprises: parameterizing modeling a full-dormant scaffold exclusive working space according to operation parameters of a construction area to generate a parameterized working space model; generating and optimizing a virtual node with an obstacle self-adaptive obstacle avoidance function on the basis of the parameterized working space model; laying out and lengthening adapting overall components of the full-dormant scaffold based on the virtual node to determine component parameters based on the parameterized working space model; converting the component parameters to a true construction coordinate system to determine a construction scheme of the full-dormant scaffold and generate a standardized material list. Through the application, full-process automatic calculation from working space modeling, virtual node obstacle avoidance, rod laying, protective structure design to component lengthening is realized, and the problems of poor scaffold laying precision and effect in the prior art are solved.

Description

Technical Field

[0001] This invention relates to the field of building construction technology, and in particular to a method and device for intelligent erection of full-span scaffolding. Background Technology

[0002] Full-span red scaffolding, as a support structure with a full-space grid layout, is widely used in large-span, large-area indoor and outdoor decoration, structural construction, equipment installation and other work scenarios. The rationality and standardization of its layout directly determine construction safety, work efficiency and material costs.

[0003] Currently, the design and on-site erection of full-scale scaffolding mainly rely on the manual experience of construction workers: technicians manually calculate the arrangement of uprights, step distances, and spans based on the dimensions of the construction area, manually avoid obstacles on site, and manually estimate material usage; on-site construction workers complete the erection of poles, installation of protective structures, and reinforcement of diagonal braces based on their experience. This traditional model has the following core technical pain points: 1. Low installation accuracy and poor compliance with standards: Manual calculation is prone to problems such as uneven spacing between uprights, non-compliance of step distance and span with standards, excessive inclination angle of diagonal bracing, and substandard height of protective structure, which bring safety hazards to the full-span scaffolding structure; 2. Weak obstacle avoidance capability: When dealing with obstacles such as structural columns, equipment, and pipelines in the construction area, manual adjustment can easily lead to problems such as chaotic node arrangement, unreasonable stress on members, and even spatial interference between scaffolding and obstacles, making it unable to meet the obstacle avoidance requirements of the full-span grid structure. 3. Serious material waste: Manual estimation of material usage is prone to over-purchasing. At the same time, unreasonable design of splicing schemes for poles and plates, repeated splicing points, and non-standard lap lengths lead to low material utilization and increased construction costs. 4. Low efficiency in generating plans: For large-area, long-span full-span scaffolding, manual calculations require a lot of time and are prone to errors, making it impossible to quickly output standardized construction plans. 5. Non-standard layout of protective measures and ladders: Manual design is prone to problems such as excessive ladder inclination angle, lack of entrance protection, and poor closed-loop structure of toe boards and guardrails, which cannot meet the safety requirements for high-altitude operations of full-span scaffolding.

[0004] In existing related technologies, the solutions are designed to be generalized and universal, without in-depth optimization for the specific characteristics of full-span scaffolding, such as its grid structure, large-span deployment requirements, fully enclosed protection requirements, and obstacle avoidance. Therefore, they cannot solve the specific pain points mentioned above in the deployment process of full-span scaffolding.

[0005] There is currently no effective solution to the problem of poor accuracy and effectiveness in scaffolding deployment in existing related technologies. Summary of the Invention

[0006] This invention provides a method and apparatus for intelligent construction of full-span scaffolding, which solves the defects of poor scaffolding layout accuracy and effect in existing related technologies, and realizes intelligent construction with fully automated calculation.

[0007] In a first aspect, the present invention provides a method for intelligent erection of full-span scaffolding, comprising: Based on the operational parameters of the construction area, a parametric model of the dedicated workspace for the full-span red scaffolding is generated. Based on the parameterized workspace model, virtual nodes with adaptive obstacle avoidance are generated and optimized; Based on the virtual nodes, the overall components of the full-span scaffolding are laid out and extended for adaptation, and the component parameters based on the parametric workspace model are determined. The component parameters are converted to the actual construction coordinate system to determine the construction plan for the full-span scaffolding and generate a standardized material list.

[0008] According to the present invention, a method for intelligently constructing full-span scaffolding includes parametrically modeling the dedicated workspace of the full-span scaffolding based on the operational parameters of the construction area, generating a parametric workspace model, comprising: Based on the operational parameters of the construction area, the bottom surface of the construction area is rectangularized and standardized; the operational parameters include the actual coordinates of the vertices of the bottom surface of the construction area, the working height, the reference height, the obstacle parameters, and the scaffolding specification parameters; The vertices of the construction area are sorted in a counterclockwise topological order to determine the length, width, and reference origin of the construction area, and to construct a spatial mapping relationship between the ideal coordinate system and the real construction coordinate system. All parameters are uniformly converted to units. After coordinate mapping transformation of the obstacles in the construction area, a safety buffer distance is added. The three-axis spatial influence range of the obstacles is calibrated, and a parameterized workspace model is generated.

[0009] According to the present invention, a method for intelligent construction of full-span scaffolding is provided, which generates and optimizes virtual nodes with adaptive obstacle avoidance based on the parameterized workspace model, including: Based on the preset vertical pole span and horizontal pole step distance, an initial node array of X, Y, and Z axes is generated to construct a three-dimensional virtual node matrix; The obstacle avoidance verification and adjustment of the XY plane vertical pole nodes and the spatial obstacle avoidance verification and fine-tuning of the Z-axis layer horizontal pole nodes are performed sequentially, and the adjusted nodes are then subjected to threshold fusion processing. A global conflict check is performed on the processed nodes to obtain an interference-free three-dimensional virtual node matrix.

[0010] According to the present invention, a method for intelligently constructing full-span scaffolding is provided, which, based on the virtual nodes, arranges and extends the overall components of the full-span scaffolding, and determines the component parameters based on a parametric workspace model, including: Based on the three-dimensional virtual node matrix, the main members and connecting fasteners of the full-span scaffolding are arranged in a differentiated manner; The working panel components of the full-span red scaffolding are arranged and extended for adaptation; The fully enclosed protective structure and ladders of the full-span red scaffolding are adaptively deployed; The erection height and scissor bracing of the full-span scaffolding are adaptively arranged; Differentiated extension treatment is applied to the various types of members of the full-span red scaffolding.

[0011] According to the present invention, a method for intelligently constructing full-span scaffolding is provided, which, based on the three-dimensional virtual node matrix, involves differentiated arrangement of the main structural members and connecting fasteners of the full-span scaffolding, including: Based on the aforementioned three-dimensional virtual node matrix, vertical poles are generated at each XY plane node position, and the heights of the edge poles and the inner poles are configured differently. Longitudinal large horizontal bars are laid out in each Z-axis layer along the length direction of the construction area, and transverse small horizontal bars are laid out in each Z-axis layer along the width direction of the construction area. Right-angle fasteners are generated at each main node of the upright and the longitudinal main horizontal bar, and at each main node of the upright and the transverse small horizontal bar. A unique ID association is established between the right-angle fastener and the corresponding bar, and the number of right-angle fasteners is counted simultaneously.

[0012] According to the present invention, a smart method for erecting full-span scaffolding includes arranging and extending the working panels of the full-span scaffolding, comprising: Steel scaffold boards are fully laid along the length of the construction area at the working surface height layer, and six-hole pads are automatically matched and filled for the gaps in the span. Based on the preset standard specifications of steel scaffold boards, the optimal splicing scheme for the steel scaffold boards is generated, and matching support crossbars and fixing fasteners are arranged at the splicing points to complete the automated layout and material statistics of the working surface support system.

[0013] According to the present invention, a smart erection method for full-span scaffolding is provided, which adaptively deploys the fully enclosed protective structure and ladders of the full-span scaffolding, including: Toe boards are installed in a closed loop around the work area, and a gap is reserved for the ladder doorway; A double-layer guardrail is installed above the toe board, and a movable guardrail and a vertical handrail on the side of the doorway are generated at the entrance of the ladder. Based on the working height, the ladder specifications are automatically matched to determine the ladder installation tilt angle and bottom offset, and the fixed connection and layout of the ladder and the main body of the scaffold are completed.

[0014] According to the present invention, a smart method for erecting full-span scaffolding includes adaptively configuring the erection height and scissor bracing of the full-span scaffolding, comprising: Based on the erection height of the full-span scaffolding, continuous vertical scissor bracing is installed on the outer facade of the scaffolding, and continuous vertical scissor bracing is installed at the mid-span position in both the longitudinal and transverse directions inside the scaffolding. Determine the endpoint coordinates of the diagonal scissor brace, control the inclination angle between the diagonal scissor brace and the ground to be within the allowable range of the specification, and perform anti-interference offset processing on the diagonal scissor brace; Rotary fasteners are generated at the connection nodes between the scissor bracing and the uprights and crossbars to complete the full-height layout of the scissor bracing.

[0015] According to the present invention, a method for intelligently constructing full-span scaffolding includes differentiated extension processing of various types of members of the full-span scaffolding, comprising: For the different length requirements of the uprights, the longitudinal main horizontal bars, the transverse small horizontal bars, and the scissor bracing diagonal bars, the optimal splicing scheme is matched based on the preset steel pipe standard specifications; The uprights and longitudinal horizontal bars are extended using butt couplers, and the diagonal braces of the scissor braces are extended using lap joints and fixed with swivel couplers. Assign a unique ID to all spliced ​​sub-members and newly added fasteners, and complete the global rearrangement and continuity verification of the IDs of all frame components.

[0016] Secondly, the present invention also provides a full-span scaffolding intelligent erection device, comprising: The module is used to perform parametric modeling of the dedicated workspace of the full-span scaffolding based on the operation parameters of the construction area, and generate a parametric workspace model. The processing module is used to generate and optimize virtual nodes with adaptive obstacle avoidance based on the parameterized workspace model. The deployment module is used to deploy and extend the overall components of the full-span scaffolding based on the virtual nodes, and to determine the component parameters based on the parametric workspace model. The generation module is used to convert the component parameters to the actual construction coordinate system, determine the construction plan of the full-span scaffolding, and generate a standardized material list.

[0017] Thirdly, the present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the intelligent scaffolding erection method described in the first aspect above.

[0018] Fourthly, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the intelligent scaffolding erection method as described in the first aspect above.

[0019] Fifthly, the present invention also provides a computer program product, including a computer program that, when executed by a processor, implements the intelligent scaffolding erection method described in the first aspect above.

[0020] Compared with the prior art, the present invention has the following beneficial effects: The intelligent scaffolding erection method provided by this invention, through parametric workspace modeling, virtual node optimization with obstacle adaptive avoidance, differentiated layout of main components, adaptive layout of protective and scissor bracing, and component extension processing, ultimately outputs a compliant erection plan and material list, significantly improving the efficiency and compliance of scaffolding design, effectively avoiding obstacle interference, reducing material waste, adapting to various construction scenarios, and solving the problems of poor scaffolding layout accuracy and effect in existing related technologies. Attached Figure Description

[0021] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0022] Figure 1 This is a flowchart of the intelligent scaffolding erection method provided by the present invention; Figure 2 This is a schematic diagram of the sub-process of virtual node generation and optimization in an embodiment of the present invention; Figure 3 This is a schematic diagram of the sub-process of rod extension in an embodiment of the present invention; Figure 4 This is a front view of the full-span scaffolding setup in an embodiment of the present invention; Figure 5 This is a side view of the structure of the full-span scaffolding arrangement in an embodiment of the present invention; Figure 6 This is a top view of the full-span scaffolding setup in an embodiment of the present invention; Figure 7 This is a structural block diagram of the intelligent scaffolding erection device provided by the present invention; Figure 8 This is a schematic diagram of the structure of the electronic device provided by the present invention. Detailed Implementation

[0023] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0024] This invention provides an intelligent method for constructing full-span scaffolding. Figure 1 This is a flowchart of the intelligent scaffolding erection method provided by the present invention, such as... Figure 1 As shown, the method includes the following steps: Step S101: Based on the operational parameters of the construction area, perform parametric modeling of the dedicated workspace for the full-span red scaffolding to generate a parametric workspace model; Step S102: Based on the parameterized workspace model, generate and optimize virtual nodes with adaptive obstacle avoidance. Step S103: Based on virtual nodes, the overall components of the full-span scaffolding are laid out and extended to adapt, and the component parameters based on the parametric workspace model are determined. Step S104: Convert the component parameters to the actual construction coordinate system, determine the construction plan for the full-span scaffolding, and generate a standardized material list.

[0025] In this method, firstly, a parametric workspace model is created based on the operational parameters of the construction area. Then, based on the parametric workspace model, virtual node optimization with adaptive obstacle avoidance is performed. Next, based on the virtual nodes, the overall components of the full-span scaffolding are arranged and extended to determine the component parameters based on the parametric workspace model. Finally, the component parameters are converted to the actual construction coordinate system, outputting a compliant erection plan and material list. Through this process, the entire process of workspace modeling, virtual node obstacle avoidance, member arrangement, protective structure design, and component extension is automated, strictly adhering to scaffolding construction specifications, improving plan generation efficiency, layout accuracy, and material utilization, and solving the problems of poor scaffolding layout accuracy and effectiveness in existing related technologies.

[0026] In some embodiments, step S101 involves parametrically modeling the dedicated workspace for the full-span scaffolding based on the operational parameters of the construction area, generating a parametric workspace model. This includes: rectangularizing and standardizing the bottom surface of the construction area based on the operational parameters; the operational parameters include the actual coordinates of the bottom vertices of the construction area, the working height, the reference height, obstacle parameters, and scaffolding specification parameters; performing counterclockwise topological sorting on the vertices of the construction area to determine the length, width, and reference origin of the construction area, and constructing a spatial mapping relationship between the ideal coordinate system and the actual construction coordinate system; performing a unified unit conversion on all parameters; adding a safety buffer distance after coordinate mapping conversion of the obstacles in the construction area; calibrating the three-axis spatial influence range of the obstacles; and generating a parametric workspace model adapted to the grid layout of the full-span scaffolding.

[0027] In this embodiment, the standardization of the bottom surface specifically involves setting the Z-coordinate of all bottom surface vertices to zero. Scaffolding specifications include upright span, horizontal bar step distance, standard steel pipe specifications, and standard steel scaffold board specifications. The counter-clockwise topological sorting of vertices involves determining four reference vertices—left rear, left front, right front, and right rear—through diagonal vector filtering and vector cross product calculation. The safety buffer distance is 50mm, and the unit conversion involves converting all metric parameters to millimeter parameters and standardizing the calculation units.

[0028] For example, firstly, the coordinates of the four vertices of the bottom surface of the construction area, the working height, the reference height, and the coordinates of the obstacle boundary are received. Since the user input may not be a standard rectangle, the average direction angle of each side needs to be calculated based on the direction vector of each vertex. The direction with the smallest variance is used as the reference, and the direction of the side in the same direction is corrected with the average direction angle. Then, the perpendicular direction of the average direction angle is calculated as the direction of the intersecting side, thereby rectangularizing the input construction area. Then, the Z coordinates of all vertices are set to zero to complete the bottom surface standardization and eliminate the influence of vertex height deviation on the planar layout.

[0029] Then, the four vertices of the bottom surface are sorted counterclockwise. By filtering the diagonal vectors and calculating the cross product, the four reference vertices of left rear, left front, right front and right rear are determined in turn. Based on the reference vertices, the length and width of the workspace are calculated. Taking the left rear vertex as the origin of the ground, the X / Y axis translation and the rotation angle around the Z axis of the workspace are calculated to establish the mapping relationship between the ideal coordinate system and the real coordinate system.

[0030] Finally, all input parameters are standardized from meters to millimeters to unify the calculation units and avoid precision errors. Simultaneously, the coordinate transformation of the eight vertices of the obstacle is completed. Through translation and rotation transformations, the obstacle vertices in the real coordinate system are transformed to the ideal coordinate system. After adding a preset buffer distance, the influence range of the obstacle's X / Y / Z axes is calibrated, providing a basis for subsequent obstacle avoidance calculations.

[0031] Figure 2 This is a schematic diagram of the sub-process of virtual node generation and optimization in an embodiment of the present invention, such as... Figure 2 As shown, in some embodiments, step S102, based on the parameterized workspace model, generates and optimizes virtual nodes with adaptive obstacle avoidance, including: generating an initial node array of X, Y, and Z axes based on preset pole span and horizontal bar step distance, and constructing a three-dimensional virtual node matrix; sequentially performing obstacle avoidance verification and adjustment of XY plane pole nodes, and spatial obstacle avoidance verification and fine-tuning of Z-axis layer horizontal bar nodes, and performing threshold fusion processing on the adjusted nodes; and performing global conflict re-check on the processed nodes to obtain an interference-free three-dimensional virtual node matrix.

[0032] In this embodiment, the obstacle avoidance verification and adjustment of the XY plane upright nodes specifically involves: traversing all XY plane node combinations and adjusting the coordinate offsets of conflicting nodes that fall within the XY projection range of the obstacle, ensuring no interference between the nodes and the obstacle boundary after adjustment. The spatial obstacle avoidance verification and fine-tuning of the Z-axis layer horizontal bar nodes specifically involves: traversing all nodes in each Z-axis layer and fine-tuning the Z-axis coordinates of conflicting nodes that fall within the Z-axis height range of the obstacle to eliminate spatial interference. The threshold fusion processing specifically involves: merging adjacent nodes with a spacing of less than 300mm to eliminate node redundancy.

[0033] For example, firstly, based on the preset vertical pole span and horizontal pole step distance, the initial node coordinates of the X-axis, Y-axis and Z-axis are generated respectively, and a three-dimensional virtual node matrix is ​​constructed. The dimensions of the three-dimensional virtual node matrix correspond one-to-one with the grid arrangement of the full-span scaffolding.

[0034] Then, perform obstacle avoidance in the XY plane for the pole nodes. Traverse all XY plane node combinations, check whether the node falls within the influence range of the obstacle's XY projection, prioritize adjusting the X-axis coordinate for conflicting nodes, and adjust the Y-axis coordinate if adjustment fails, controlling the adjustment step size to be no less than the minimum pole spacing and ensuring that the adjusted node does not exceed the workspace boundary.

[0035] Next, perform obstacle avoidance in the Z-level space for the horizontal bar nodes. Traverse all Z-axis layer nodes, check whether the current layer's X / Y nodes fall within the influence range of the corresponding Z-level obstacle, prioritize adjusting the Z-axis coordinates for conflicting nodes, and adjust the X / Y-axis coordinates if adjustment fails, ensuring that there is no spatial interference between the horizontal bar and the obstacle.

[0036] Finally, threshold fusion is performed on the adjusted three-axis nodes, merging adjacent nodes with a spacing smaller than the preset fusion threshold into median nodes to avoid chaotic member arrangement caused by excessively small node spacing; after fusion, a global conflict review is performed again, traversing all nodes to confirm that there are no obstacles interfering, and then the final virtual node matrix is ​​output.

[0037] Figure 3This is a schematic diagram of the sub-process of rod extension in an embodiment of the present invention, as shown below. Figure 3 As shown, in some embodiments, step S103 involves, based on virtual nodes, the overall components of the full-span scaffolding are arranged and extended to adapt to each other, determining the component parameters based on the parametric workspace model. This includes: differentiated arrangement of the main members and connecting fasteners of the full-span scaffolding based on a three-dimensional virtual node matrix; arrangement and extension of the working panel components of the full-span scaffolding; adaptive arrangement of the fully enclosed protective structure and ladders of the full-span scaffolding; adaptive arrangement of the erection height and scissor bracing of the full-span scaffolding; and differentiated extension processing of the various types of members of the full-span scaffolding.

[0038] Based on a three-dimensional virtual node matrix, the main members and connecting fasteners of the full-span scaffolding are arranged differently, including: generating vertical uprights at each XY plane node position based on the three-dimensional virtual node matrix, and configuring the height of the edge uprights and the inner uprights differently; laying longitudinal main horizontal members along the length of the construction area in each Z-axis layer, and laying transverse small horizontal members along the width of the construction area in each Z-axis layer; generating right-angle fasteners at each main node between the uprights and the longitudinal main horizontal members, and between the uprights and the transverse small horizontal members, establishing a unique ID association between the right-angle fasteners and the corresponding members, and simultaneously completing the counting of the number of right-angle fasteners.

[0039] In this implementation plan, the height of the edge posts extends to the top of the guardrail, and the height of the inner posts ends at the working surface; both the longitudinal main horizontal bars and the transverse secondary horizontal bars are laid out continuously, with the extension length of both ends of the horizontal bars being 100mm.

[0040] For example, firstly, based on the virtual node matrix, vertical poles are generated at each XY node position. Different heights are set for edge poles and internal poles. The height of the edge poles extends to the top of the guardrail to meet the installation requirements of the protective structure, while the height of the internal poles ends at the working surface to avoid obstructing the movement of construction personnel and wasting materials.

[0041] Then, longitudinal large horizontal bars are laid out in each Z-axis layer along the Y-axis direction, and transverse small horizontal bars are laid out in each Z-axis layer along the X-axis direction. The starting position, extension length and rotation parameters of the transverse small horizontal bars are calculated. The two ends of the transverse small horizontal bars are set with extension sections of preset length to ensure the stability of the node connection.

[0042] Finally, right-angle fasteners are generated at each connection node between the upright and the longitudinal main horizontal bar, and between the upright and the transverse secondary horizontal bar. The position coordinates and rotation angle of the fasteners are calculated, the ID association between the fasteners and the corresponding poles is established, and the statistical update of the number of right-angle fasteners is completed simultaneously to ensure that the fastener layout and the pole connection are in one-to-one correspondence.

[0043] The layout and extension adaptation of the working panel components of the full-span scaffolding includes: fully laying steel scaffold boards along the length of the construction area at the working height level; automatically matching and filling six-hole pads for gaps in the span; generating the optimal extension and splicing scheme for the steel scaffold boards based on the preset standard specifications of the steel scaffold boards; and laying matching support crossbars and fixing fasteners at the extension points to complete the automated layout and material statistics of the working surface support system, ensuring the load-bearing stability of the panels.

[0044] In this implementation plan, steel scaffold boards are laid out along the length of the construction area, with each board being 250mm wide, fully covering the entire working surface. The optimal splicing scheme prioritizes the use of the longest standard-sized boards, with double horizontal support bars installed at the splicing points, and the gap between the boards not exceeding 10mm.

[0045] The fully enclosed protective structure and ladders of the full-span red scaffolding are adaptively arranged, including: installing toe boards in a closed loop around the working surface and reserving gaps for ladder doorways; installing double-layer guardrails above the toe boards and generating movable guardrails and vertical handrails on the sides of the doorways at the ladder entrance; automatically matching ladder specifications based on the working height, determining the ladder installation inclination angle and bottom offset, and completing the fixed connection between the ladder and the main scaffolding structure.

[0046] In this implementation plan, the toe board is 250mm high and fixed to the inside of the uprights on the working surface. The double-layer guardrail includes a bottom horizontal bar 600mm from the working surface and a top horizontal bar 1200mm from the working surface. The ladder installation angle is controlled within the safety specification range of 45°~75°. The upper and lower ends of the ladder are fixedly connected to the main body of the scaffolding using pig-ear fasteners, and the bottom of the ladder is reinforced with independent fixing rods.

[0047] For example, firstly, toe boards are installed on the inside of the uprights around the work surface. The length, installation height, and rotation parameters of the toe boards are calculated. A doorway opening is reserved at the entrance of the ladder to ensure the closed-loop installation of the toe boards.

[0048] Then, two layers of guardrails are installed above the toe board. The bottom guardrail is 600mm above the working surface, and the top guardrail is 1200mm above the working surface, strictly complying with safety regulations. A movable guardrail is installed at the entrance of the ladder, and vertical handrails and fixed right-angle fasteners are installed on both sides of the doorway to ensure safety at the entrance.

[0049] Finally, based on the working height, 3m / 4m / 6m ladders are automatically matched. The offset of the ladder's bottom surface and the installation tilt angle are calculated based on the Pythagorean theorem to ensure the ladder's tilt angle meets safety regulations. Pig-ear couplers are installed at both the top and bottom of the ladder to secure it to the scaffolding body. Independent fixing rods and right-angle couplers are installed at the bottom of the ladder to reinforce the bottom and prevent slippage.

[0050] Adaptive deployment of scissor bracing for full-span scaffolding includes: based on the erection height of the full-span scaffolding, installing continuous vertical scissor bracing on the outer facade of the scaffolding and installing continuous vertical scissor bracing at the mid-span positions of the longitudinal and transverse axes inside the scaffolding; determining the endpoint coordinates of the diagonal members of the scissor bracing, controlling the inclination angle between the diagonal members and the ground within the allowable range of the specifications, and performing anti-interference offset treatment on the diagonal members of the scissor bracing; generating swivel couplers at the connection nodes between the scissor bracing and the uprights and horizontal members to complete the full-height deployment of the scissor bracing.

[0051] In this implementation plan, the angle of inclination of the diagonal bracing members to the ground is controlled within the specified range of 45° to 60°, and each diagonal bracing spans no fewer than four uprights. The diagonal bracing members are offset outwards from the outer diameter of the steel pipe to avoid spatial interference with the main scaffold members. When the diagonal bracing members are extended by lap splicing, the lap length is no less than 1000mm, and no fewer than two swivel couplers are used for fixing at the lap joint.

[0052] For example, when the height of the full-span scaffolding is no more than 3m, a zigzag single diagonal brace is generated every 2 spans on the outer facade of the full-span scaffolding; when the height is more than 3m, an X-shaped double diagonal brace is generated every 4 spans on the outer facade of the full-span scaffolding, to adapt to the reinforcement needs of full-span scaffolding of different heights.

[0053] Then, the endpoint coordinates of the diagonal members of the scissor bracing are calculated using trigonometric functions. The angle between the diagonal members and the ground is controlled within the standard range of 45 degrees to 60 degrees. The scissor bracing members are offset to the outside of the scaffolding by a preset distance to avoid spatial interference with the main members.

[0054] Finally, swivel couplers are generated at each connection node between the scissor brace and the upright, and the position, rotation angle and associated member ID of the coupler are calculated. The number of swivel couplers is updated synchronously.

[0055] Differentiated splicing treatments were implemented for various types of members in the full-span scaffolding, including: matching the optimal splicing scheme based on the preset steel pipe standard specifications for different length requirements of uprights, longitudinal main horizontal members, transverse secondary horizontal members, and diagonal bracing members; butt joint couplers were used to splice uprights and longitudinal main horizontal members, while lap joints and swivel couplers were used to fix diagonal bracing members; and a unique ID was assigned to all spliced ​​sub-members and newly added couplers to complete the global rearrangement and continuity verification of the IDs of all scaffolding components.

[0056] In this implementation plan, a priority screening mechanism for extension schemes is established for different layout rules of uprights, longitudinal horizontal members, transverse horizontal members, and scissor braces. Single standard members are preferred for adaptation; when no matching scheme is available, multi-member splicing is performed. The mechanism ensures that extension points do not repeat and that overlap lengths comply with specifications. After extension is completed, the component IDs are globally rearranged and data consistency is verified. Specifically, the extension points of adjacent horizontal members are staggered horizontally and, in principle, not within the same span. The butt joints of adjacent uprights are staggered vertically and, in principle, not within the same step.

[0057] For example, firstly, for the target length of a single component, standard length rods are matched first. When a single standard rod can meet the length requirement and the loss is less than the preset threshold, the single rod solution is directly adopted to maximize the material utilization rate.

[0058] When no matching single member is available, a multi-member splicing scheme is generated, prioritizing the use of long member combinations. The splicing points are controlled to avoid overlap with those of adjacent members, preventing a decrease in structural strength caused by splicing members at the same cross-section. Uprights, longitudinal main horizontal members, and transverse secondary horizontal members are spliced ​​using butt joint couplers, while scissor braces are spliced ​​using lap joints. The lap length is not less than 1m, and two swivel couplers are installed on each side of the lap joint, strictly adhering to the specifications.

[0059] Finally, a unique ID is assigned to each spliced ​​sub-member and newly added fastener, establishing the connection relationship between the extended members. After all components are extended, the IDs of all members and fasteners in the scaffolding are globally rearranged to ensure the continuity and uniqueness of the IDs, providing standardized data for subsequent scheme output and on-site construction.

[0060] Based on the above embodiments, and based on the spatial mapping relationship between the ideal coordinate system and the real coordinate system, all component parameters under the ideal coordinate system are transformed to the real construction coordinate system, outputting a complete full-span scaffolding erection plan, and simultaneously outputting a standardized material list.

[0061] Specifically, the construction plan includes the precise spatial coordinates, rotation angles, dimensions, and connection relationships of all rods, fasteners, plates, protective structures, ladders, and scissor braces. The bill of materials includes the specifications, quantities, and material requirements of all components.

[0062] Next, the above method will be explained in detail using the construction of a large-span full-span scaffolding in an industrial plant as an example. The construction scenario in this embodiment is the erection of full-span scaffolding indoors in a large industrial plant, used for upper equipment maintenance, electromechanical pipeline installation, and partial anti-corrosion work on the steel structure. The bottom surface of the construction area is rectangular, and the actual coordinates of the four vertices are: A(10.000m, 5.000m, 0m), B(10.000m, 14.000m, 0m), C(16.000m, 14.000m, 0m), D(16.000m, 5.000m, 0m); the total height of the workspace is 3m, the working height is 1.5m, and the reference height is 0m. There is one concrete equipment foundation obstacle in the construction area, with the obstacle parameters as follows: Obstacle 1: min (12.0m, 8.0m, 0m), max (14.0m, 11.0m, 2.5m); Scaffolding specification parameters: upright span 1500mm, horizontal bar step distance 1800mm, standard steel pipe specifications: 1m / 1.5m / 2m / 3m / 4m / 6m, standard steel scaffold board specifications: 1m / 1.5m / 2m / 3m.

[0063] Based on the above scenario, the specific execution steps of this method are as follows: Step 1, Modeling the Full House Red Exclusive Workspace: Receive the input parameters for the construction area mentioned above. Calculate the average orientation angle of the wall based on the orientation vectors of each vertex. Rectify the construction area using the direction with the smallest variance as the reference. Then, uniformly set the Z-coordinates of the four bottom vertices to zero to complete the bottom standardization. Sort the four vertices counterclockwise. Through diagonal vector filtering and cross product calculation, determine the left rear vertex as A (10.000m, 5.000m, 0m), the left front vertex as B (10.000m, 14.000m, 0m), the right front vertex as C (16.000m, 14.000m, 0m), and the right rear vertex as D (16.000m, 5.000m, 0m). The calculated workspace length is 9m and width is 6m. Taking the left rear vertex A as the ground origin, the calculated X-axis translation is 10.000m, the Y-axis translation is 5.000m, and the Z-axis rotation angle is 0 rad. A mapping relationship between the ideal coordinate system and the real coordinate system is established, and all parameters are converted from meters to millimeters, with the unified calculation unit being millimeters. Coordinate transformation is performed on the eight vertices of the obstacle. After transformation to the ideal coordinate system, a 50mm buffer distance is added, and the three-axis influence range of the obstacle is calibrated as follows: X [1950mm, 4050mm], Y [2950mm, 6050mm], Z [0mm, 2550mm]. A workspace model containing the above parameters is generated, completing the workspace modeling step.

[0064] Step 2, Intelligent Generation and Optimization of Virtual Nodes with Obstacle Avoidance: Based on a vertical pole span of 1500mm and a horizontal pole step distance of 1800mm, generate three initial nodes: X-axis nodes (along a 6m width direction, span of 1500mm): 0mm, 1500mm, 3000mm, 4500mm, 6000mm, a total of 5 nodes; Y-axis nodes (along a 9m length direction, span of 1500mm): 0mm, 1500mm, 3000mm, 4500mm, 6000mm, 7500mm, 9000mm, a total of 7 nodes; Z-axis nodes (along a height direction, ending at the working surface, step distance of 1800mm): 0mm (sweeping pole layer), 1500mm (working surface layer), a total of 2 nodes; construct a 5×7×2 three-dimensional virtual node matrix. Perform XY plane obstacle avoidance for pole nodes: Traverse all XY node combinations. If two nodes with X=3000mm / Y=3000mm and X=3000mm / Y=4500mm are found to fall within the XY projection range of an obstacle, adjust the coordinates of the conflicting nodes. Change X=3000mm / Y=3000mm to X=3000mm / Y=1500mm and X=3000mm / Y=4500mm to X=3000mm / Y=7500mm. After adjustment, the nodes do not interfere with each other. Perform Z-layer spatial obstacle avoidance for crossbar nodes: Traverse all Z-layer nodes. There is no spatial interference. Perform 300mm threshold fusion on the adjusted nodes. Merge adjacent nodes with a spacing of less than 300mm. After fusion, perform a global conflict re-check to confirm that all nodes do not interfere with each other. Output the final virtual node matrix.

[0065] Step 3, Differentiated Layout of Main Components and Connecting Fasteners for the Full-Span Fence: Based on a virtual node matrix, vertical uprights are generated at each XY node position: edge uprights (X=0 / 6000mm, Y=0 / 9000mm) are 3000mm high and extend to the top of the guardrail; internal uprights are 1500mm high and end at the working surface, generating a total of 5×7=35 uprights; longitudinal horizontal bars are laid out along the Y-axis (9m length) at each Z-axis layer, with a single horizontal bar length of 9000mm, and one is laid out every 1500mm along the X-axis. There are 2 layers × 5 rows = 20 large horizontal bars; horizontal small horizontal bars are laid in each Z-axis layer along the X-axis (6m width), with a single small horizontal bar length of 6000mm; one is laid every 1500mm along the Y-axis, for a total of 2 layers × 7 = 14 small horizontal bars; the extension length of both ends of the horizontal bars is 100mm; right-angle fasteners are generated at each connection node between the uprights and the large horizontal bars, and between the uprights and the small horizontal bars. The position coordinates and rotation angle of the fasteners are calculated, and the ID association between the fasteners and the corresponding bars is established. A total of 35 × 2 × 2 = 140 right-angle fasteners are generated, and the number of fasteners is counted simultaneously.

[0066] Step 4, Intelligent Layout and Extension Adaptation of Full-Span Working Panels: On the working surface with Z=1500mm, steel scaffold boards are laid along the Y-axis (9m length). Each scaffold board is 250mm wide and 9000mm long. A total of 6000 / 250=24 steel scaffold boards are laid along the X-axis, fully covering the entire 6m×9m working surface. For any gaps within the span of the horizontal bars, 140mm six-hole pads are automatically used to fill them, ensuring that there are no gaps on the working surface. For the 9000mm long steel scaffold boards, an extension plan is generated: 3m standard panels are used first, and three 3m panels are spliced ​​together to complete the 9m length. The extension points are at 3m and 6m. Two small horizontal bars are laid at each extension point to support and reinforce the panels. The quantity and parameter calculation of steel scaffold boards and six-hole pads are completed simultaneously.

[0067] Step 5: Fully Enclosed Protective Structure and Intelligent Ladder Layout: Install 250mm high toe boards on the inner side of the uprights around the working surface. The length of the toe boards matches the boundary of the working surface. Reserve ladder doorway openings on both diagonal sides in the Y direction to complete the closed-loop layout of the toe boards, generating a total of 4 toe boards. Install two layers of guardrails above the toe boards. The bottom guardrail is 600mm from the working surface, and the top guardrail is 1200mm from the working surface. A 1000m... (The sentence is incomplete and requires further context to translate accurately.) A movable guardrail of m length is installed next to the doorway, with a 1500mm high vertical handrail rod fixed with 3 right-angle couplers to complete the protective structure. Based on the 1.5m working height, a 3m ladder is matched, and the bottom offset and installation tilt angle of the ladder are calculated using the Pythagorean theorem. Two pig-ear couplers are installed at each of the top and bottom ends of the ladder to fix it to the main body of the scaffolding. A 2m long rod is installed at the bottom of the ladder and fixed to the crossbar with 2 right-angle couplers to complete the bottom reinforcement of the ladder.

[0068] Step 6, Full-scale height adaptive scissor bracing deployment: In this embodiment, the scaffolding height is 3m. Continuous vertical scissor bracing is fully installed on the outer facade of the scaffolding. Multiple zigzag scissor bracings are deployed on each of the four facades at X=0mm, X=6000mm, Y=0mm, and Y=9000mm. The coordinates of the diagonal ends of the scissor bracing are calculated using trigonometric functions to control the angle between the diagonal bracing and the ground within the specified range. The scissor bracing members are offset 48.3mm outward from the scaffolding to avoid interference with the main members. Rotary couplers are generated at each connection node between the scissor bracing and the uprights. The position, rotation angle, and associated member ID of the coupler are calculated. A total of 46 rotating couplers are generated, and the quantity is counted simultaneously.

[0069] Step 7, Differentiated Extension Processing for Various Component Types in the Full-Square-Frame Scaffold: For edge uprights with a height of 3000mm and internal uprights with a height of 1500mm, standard single 3m and 1.5m poles are used directly without splicing; for large horizontal poles with a length of 9000mm, multiple sets of standard pole splicing schemes such as 3m×3 poles are used, and the extension points of adjacent horizontal poles are staggered to avoid extensions at the same cross-section; for small horizontal poles with a length of 6000mm, multiple sets of standard pole splicing schemes such as 3m×2 poles are used, and the extension points are staggered; for diagonal bracing members, an overlapping extension method is used, with an overlap length of not less than 1000mm, and two swivel couplers are placed on each side of the overlap, with a coupler spacing of 500mm, in accordance with the specifications; a unique ID is assigned to all spliced ​​sub-pole members and newly added couplers, completing the global rearrangement of IDs for all scaffold members and couplers, ensuring the continuity and uniqueness of IDs, and completing the extension processing.

[0070] Step 8, Spatial Coordinate Calibration and Final Scheme Output: Based on the X-axis translation of 10.000m, Y-axis translation of 5.000m, and rotation angle of 0rad in the workspace, convert all component parameters from the ideal coordinate system to the actual construction coordinate system to complete the benchmark height adaptation; output a complete full-span scaffolding erection scheme, including the precise position, rotation angle, specifications, and connection relationships of all poles, couplers, plates, protective structures, ladders, and scissor braces. Simultaneously output a materials list: 35 uprights, 34 main horizontal bars, 24 secondary horizontal bars, 10 scissor braces; 198 right-angle couplers, 30 swivel couplers, 24 butt couplers, 8 pig-ear couplers; 60 steel scaffold boards, 10 toe boards, and 2 ladders.

[0071] In this implementation scenario, the above method was applied to complete the full-scale design of a 6m×9m×3m industrial plant scaffolding in a short time. The deployed scaffolding is as follows: Figure 4-6 As shown, Figure 4 This is a front view of the full-span scaffolding setup in an embodiment of the present invention. Figure 5 This is a side view of the structure of the full-span scaffolding arrangement in an embodiment of the present invention. Figure 6 This is a top-view view of the full-span scaffolding layout in this embodiment of the invention. All parameters strictly conform to the specifications, there is no interference with obstacles, and the material loss rate is controlled within 10%. Compared with manual design, both efficiency and accuracy have been significantly improved. Each algorithm module designed in this method can be compiled and implemented using C / C++ language, and can be deployed on operating systems such as Windows and Linux. It supports data exchange with BIM software and on-site layout equipment, realizing automated design and on-site construction guidance for full-span scaffolding schemes.

[0072] The present invention also provides a full-span scaffolding intelligent erection device. The full-span scaffolding intelligent erection device provided by the present invention will be described below. The full-span scaffolding intelligent erection device described below can be referred to in correspondence with the full-span scaffolding intelligent erection method described above. Figure 7 This is a structural block diagram of the intelligent scaffolding erection device provided by the present invention, as shown below. Figure 7 As shown, the device includes: Module 701 is used to perform parametric modeling of the dedicated workspace of the full-span red scaffolding based on the operation parameters of the construction area, and generate a parametric workspace model. Processing module 702 is used to generate and optimize virtual nodes with adaptive obstacle avoidance based on the parameterized workspace model; The deployment module 703 is used to deploy and extend the overall components of the full-span scaffolding based on virtual nodes, and to determine the component parameters based on the parametric workspace model. Module 704 is used to convert component parameters to the actual construction coordinate system, determine the construction plan for full-span scaffolding, and generate a standardized material list.

[0073] In use, this device first constructs a parametric workspace model based on the operational parameters of the construction area using the following steps: Then, the processing module 702 optimizes virtual nodes with adaptive obstacle avoidance based on the parametric workspace model. Next, the deployment module 703, based on the virtual nodes, deploys and extends the overall components of the full-span scaffolding, determining the component parameters based on the parametric workspace model. Finally, the generation module 704 converts the component parameters to the real construction coordinate system, outputting a compliant construction plan and material list. Through this process, the entire process—from workspace modeling, virtual node obstacle avoidance, member deployment, protective structure design to component extension—is automated, strictly adhering to scaffolding construction specifications. This improves plan generation efficiency, deployment accuracy, and material utilization, resolving the issues of poor scaffolding deployment accuracy and effectiveness in existing related technologies.

[0074] Figure 8 An example is a schematic diagram of the physical structure of an electronic device, such as... Figure 8 As shown, the electronic device may include: a processor 801, a communication interface 802, a memory 803, and a communication bus 804. The processor 801, communication interface 802, and memory 803 communicate with each other via the communication bus 804. The processor 801 can call logical instructions from the memory 803 to execute the intelligent scaffolding erection method, which includes: Based on the operational parameters of the construction area, a parametric model of the dedicated workspace for the full-span red scaffolding is generated. Based on the parameterized workspace model, virtual nodes with adaptive obstacle avoidance are generated and optimized; Based on virtual nodes, the overall components of the full-span scaffolding are laid out and extended to adapt to each other, and the component parameters based on the parametric workspace model are determined. The component parameters are converted to the actual construction coordinate system to determine the construction plan for the full-span scaffolding and generate a standardized material list.

[0075] Furthermore, the logical instructions in the aforementioned memory 803 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, essentially, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0076] On the other hand, the present invention also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer is able to execute the intelligent scaffolding erection method provided by the above methods, the method comprising: Based on the operational parameters of the construction area, a parametric model of the dedicated workspace for the full-span red scaffolding is generated. Based on the parameterized workspace model, virtual nodes with adaptive obstacle avoidance are generated and optimized; Based on virtual nodes, the overall components of the full-span scaffolding are laid out and extended to adapt to each other, and the component parameters based on the parametric workspace model are determined. The component parameters are converted to the actual construction coordinate system to determine the construction plan for the full-span scaffolding and generate a standardized material list.

[0077] In another aspect, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the intelligent scaffolding erection method provided by the above methods, the method comprising: Based on the operational parameters of the construction area, a parametric model of the dedicated workspace for the full-span red scaffolding is generated. Based on the parameterized workspace model, virtual nodes with adaptive obstacle avoidance are generated and optimized; Based on virtual nodes, the overall components of the full-span scaffolding are laid out and extended to adapt to each other, and the component parameters based on the parametric workspace model are determined. The component parameters are converted to the actual construction coordinate system to determine the construction plan for the full-span scaffolding and generate a standardized material list.

[0078] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0079] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0080] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for intelligently constructing full-span scaffolding, characterized in that, include: Based on the operational parameters of the construction area, a parametric model of the dedicated workspace for the full-span red scaffolding is generated. Based on the parameterized workspace model, virtual nodes with adaptive obstacle avoidance are generated and optimized; Based on the virtual nodes, the overall components of the full-span scaffolding are laid out and extended for adaptation, and the component parameters based on the parametric workspace model are determined. The component parameters are converted to the actual construction coordinate system to determine the construction plan for the full-span scaffolding and generate a standardized material list.

2. The intelligent scaffolding erection method according to claim 1, characterized in that, Based on the operational parameters of the construction area, a parametric model of the dedicated workspace for the full-span scaffolding is generated, including: Based on the operational parameters of the construction area, the bottom surface of the construction area is rectangularized and standardized; the operational parameters include the actual coordinates of the vertices of the bottom surface of the construction area, the working height, the reference height, the obstacle parameters, and the scaffolding specification parameters; The vertices of the construction area are sorted in a counterclockwise topological order to determine the length, width, and reference origin of the construction area, and to construct a spatial mapping relationship between the ideal coordinate system and the real construction coordinate system. All parameters are uniformly converted to units. After coordinate mapping transformation of the obstacles in the construction area, a safety buffer distance is added. The three-axis spatial influence range of the obstacles is calibrated, and a parameterized workspace model is generated.

3. The intelligent scaffolding erection method according to claim 1, characterized in that, Based on the parameterized workspace model, virtual nodes with adaptive obstacle avoidance are generated and optimized, including: Based on the preset vertical pole span and horizontal pole step distance, an initial node array of X, Y, and Z axes is generated to construct a three-dimensional virtual node matrix; The obstacle avoidance verification and adjustment of the XY plane vertical pole nodes and the spatial obstacle avoidance verification and fine-tuning of the Z-axis layer horizontal pole nodes are performed sequentially, and the adjusted nodes are then subjected to threshold fusion processing. A global conflict check is performed on the processed nodes to obtain an interference-free three-dimensional virtual node matrix.

4. The intelligent scaffolding erection method according to claim 3, characterized in that, Based on the virtual nodes, the overall components of the full-span scaffolding are laid out and extended for adaptation, and the component parameters based on the parametric workspace model are determined, including: Based on the three-dimensional virtual node matrix, the main members and connecting fasteners of the full-span scaffolding are arranged in a differentiated manner; The working panel components of the full-span red scaffolding are arranged and extended for adaptation; The fully enclosed protective structure and ladders of the full-span red scaffolding are adaptively deployed; The erection height and scissor bracing of the full-span scaffolding are adaptively arranged; Differentiated extension treatment is applied to the various types of members of the full-span red scaffolding.

5. The intelligent scaffolding erection method according to claim 4, characterized in that, Based on the aforementioned three-dimensional virtual node matrix, the main structural members and connecting fasteners of the full-span scaffolding are arranged in a differentiated manner, including: Based on the aforementioned three-dimensional virtual node matrix, vertical poles are generated at each XY plane node position, and the heights of the edge poles and the inner poles are configured differently. Longitudinal large horizontal bars are laid out in each Z-axis layer along the length direction of the construction area, and transverse small horizontal bars are laid out in each Z-axis layer along the width direction of the construction area. Right-angle fasteners are generated at each main node of the upright and the longitudinal main horizontal bar, and at each main node of the upright and the transverse small horizontal bar. A unique ID association is established between the right-angle fastener and the corresponding bar, and the number of right-angle fasteners is counted simultaneously.

6. The intelligent scaffolding erection method according to claim 4, characterized in that, The installation and extension of the working panels of the full-span scaffolding include: Steel scaffold boards are fully laid along the length of the construction area at the working surface height layer, and six-hole pads are automatically matched and filled for the gaps in the span. Based on the preset standard specifications of steel scaffold boards, the optimal splicing scheme for the steel scaffold boards is generated, and matching support crossbars and fixing fasteners are arranged at the splicing points to complete the automated layout and material statistics of the working surface support system.

7. The intelligent scaffolding erection method according to claim 4, characterized in that, The fully enclosed protective structure and ladders of the full-span red scaffolding are adaptively deployed, including: Toe boards are installed in a closed loop around the work area, and a gap is reserved for the ladder doorway; A double-layer guardrail is installed above the toe board, and a movable guardrail and a vertical handrail on the side of the doorway are generated at the entrance of the ladder. Based on the working height, the ladder specifications are automatically matched to determine the ladder installation tilt angle and bottom offset, and the fixed connection and layout of the ladder and the main body of the scaffold are completed.

8. The intelligent scaffolding erection method according to claim 5, characterized in that, The adaptive arrangement of the erection height and scissor bracing of the full-span scaffolding includes: Based on the erection height of the full-span scaffolding, continuous vertical scissor bracing is installed on the outer facade of the scaffolding, and continuous vertical scissor bracing is installed at the mid-span position in both the longitudinal and transverse directions inside the scaffolding. Determine the endpoint coordinates of the diagonal scissor brace, control the inclination angle between the diagonal scissor brace and the ground to be within the allowable range of the specification, and perform anti-interference offset processing on the diagonal scissor brace; Rotary fasteners are generated at the connection nodes between the scissor bracing and the uprights and crossbars to complete the full-height layout of the scissor bracing.

9. The intelligent scaffolding erection method according to claim 8, characterized in that, Differentiated splicing treatment is applied to the various types of members of the full-span scaffolding, including: For the different length requirements of the uprights, the longitudinal main horizontal bars, the transverse small horizontal bars, and the scissor bracing diagonal bars, the optimal splicing scheme is matched based on the preset steel pipe standard specifications; The uprights and longitudinal horizontal bars are extended using butt couplers, and the diagonal braces of the scissor braces are extended using lap joints and fixed with swivel couplers. Assign a unique ID to all spliced ​​sub-members and newly added fasteners, and complete the global rearrangement and continuity verification of the IDs of all frame components.

10. A full-span scaffolding intelligent erection device, characterized in that, include: The module is used to perform parametric modeling of the dedicated workspace of the full-span scaffolding based on the operation parameters of the construction area, and generate a parametric workspace model. The processing module is used to generate and optimize virtual nodes with adaptive obstacle avoidance based on the parameterized workspace model. The deployment module is used to deploy and extend the overall components of the full-span scaffolding based on the virtual nodes, and to determine the component parameters based on the parametric workspace model. The generation module is used to convert the component parameters to the actual construction coordinate system, determine the construction plan of the full-span scaffolding, and generate a standardized material list.

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