An intelligent design method and system for assembled prefabricated panels

Abstract

The present invention discloses an intelligent design method and system for assembled prefabricated panels. The intelligent technology is used to automatically identify the contours of prefabricated panels and electromechanical points in CAD drawings and BIM models, greatly reducing data input errors, improving design efficiency and accuracy, automatically calculating the layout of steel bars, optimizing the configuration of trusses and stressed bottom bars, avoiding tedious manual calculations, and adopting collision detection and avoidance mechanisms to ensure that there are no conflicts between steel bars and electromechanical points. The layout is optimized to reduce rework, and special avoidance designs are used to ensure structural safety while reducing material waste. The positions of hanging points are accurately calculated and strengthened to improve hoisting safety, and prefabricated panel information is counted in detail to facilitate subsequent production and construction. Clear design drawings and avoidance schemes help to ensure efficient and error-free construction. The method integrates automatic identification, optimized calculation, collision avoidance, and information statistics, and significantly improves the intelligence and efficiency of assembled prefabricated panel design.

Description

Technical Field

[0001] The present invention relates to the technical field of prefabricated panel design, and in particular to an intelligent design method and system for prefabricated panels. Background Art

[0002] In traditional technology, the design process of prefabricated panels has significant defects. Specifically, existing design methods mostly rely on the experience and judgment of designers, lacking systematicity and precision. When designing prefabricated panels, designers usually need to draw drawings manually and mark the positions and quantities of structural elements such as truss reinforcement and load-bearing bottom reinforcement on the drawings. However, this method is not only inefficient, but also prone to errors, especially when dealing with complex electromechanical point devices (such as water stop joints, PC wire boxes, fire wire boxes, etc.), it is often difficult to ensure their precise coordination with structural elements, and collision problems are prone to occur.

[0003] In addition, traditional design methods also have shortcomings in data management and information sharing. The data generated during the design process is often scattered in multiple drawings and documents, making it difficult to achieve centralized management and efficient use. When it comes to multi-disciplinary collaborative design, data transmission and sharing between different disciplines is more difficult, which can easily lead to design conflicts and duplication of work.

[0004] In summary, the traditional design method of prefabricated panels has defects such as low design efficiency, lack of accuracy, low level of intelligence, and difficulties in data management and information sharing. These defects not only increase design costs and time, but may also lead to a decline in design quality and increased safety hazards. Summary of the invention

[0005] In view of this, the present invention proposes an intelligent design method and system for assembled prefabricated panels, which can solve the defects of the prior art such as low design efficiency, insufficient accuracy, low intelligence level, and difficulties in data management and information sharing.

[0006] The technical solution of the present invention is achieved in this way:

[0007] An intelligent design method for assembled prefabricated panels, specifically comprising:

[0008] Step S1, identifying the prefabricated panel outline, electromechanical point device, and the centroid position of the electromechanical point device in the CAD drawing or BIM model;

[0009] Step S2, in the prefabricated panel, calculate the number and position of truss steel bars and generate truss steel bars;

[0010] Step S3, judging whether the electromechanical point location device collides with the truss reinforcement according to the centroid position of the electromechanical point location device, and if so, modifying the position of the truss reinforcement to avoid the electromechanical point location device;

[0011] Step S4, repeating the collision judgment and avoidance operation of step S3 for the truss steel bars after the position is modified, until no collision occurs;

[0012] Step S5, in the prefabricated board, calculating the number and position of the stress-bearing bottom reinforcement of the prefabricated board, and generating the stress-bearing bottom reinforcement;

[0013] Step S6, determining whether the electromechanical point device collides with the stressed bottom rib, if so, the stressed bottom rib is partially bent to avoid the electromechanical point device;

[0014] Step S7, calculating the position of the lifting point according to the principle of the maximum positive and negative bending moments in the lifting component, and arranging the lifting point reinforcement;

[0015] Step S8, count the weight and volume of the precast panels, the electromechanical point devices in the precast panels, the number and length of truss bars, the number and length of the load-bearing bottom bars, the number and length of the hanging point reinforcement bars, and output a statistical table.

[0016] As a further optional solution of the intelligent design method for assembled prefabricated panels, the calculation of the number and position of truss steel bars in the prefabricated panels and the generation of truss steel bars specifically include:

[0017] Obtain the geometric dimensions, load requirements and material properties of precast panels;

[0018] Determine material mechanics calculation parameters according to building structure design specifications;

[0019] The geometric dimensions, load requirements, material properties and material mechanics calculation parameters of the precast panel are input into the material mechanics formula, and the material mechanics formula calculates the strength and allowable stress of the truss reinforcement according to the geometric dimensions, load requirements, material properties and calculation parameters of the precast panel;

[0020] The calculated strength and allowable stress of the truss reinforcement are input into the strength verification formula. The strength verification formula calculates the cross-sectional area of ​​the reinforcement to determine the required number and length of truss reinforcement.

[0021] As a further optional solution of the intelligent design method for assembled prefabricated panels, the method of calculating the number and position of the stress-bearing bottom reinforcements of the prefabricated panels and generating the stress-bearing bottom reinforcements in the prefabricated panels specifically includes:

[0022] Determine the length of the precast panel along the X-axis and Y-axis directions;

[0023] Setting reinforcement parameters, including reinforcement spacing, distance between reinforcement and plate edge, and distance between both ends of reinforcement and plate edge;

[0024] According to the length of the precast panel along the X-axis direction and the Y-axis direction, and the steel bar parameters, the number of steel bars parallel to the X-axis direction and the number of steel bars parallel to the Y-axis direction are calculated;

[0025] The position of the steel bars is calculated based on the number of steel bars parallel to the X-axis and the number of steel bars parallel to the Y-axis.

[0026] Based on the calculated number and position of steel bars, the corresponding load-bearing bottom reinforcement is generated in the precast slab.

[0027] As a further optional solution of the intelligent design method for assembled prefabricated panels, the method of calculating the position of the hanging point according to the principle of the maximum positive and negative bending moments in the lifting components and arranging the hanging point reinforcement ribs specifically includes:

[0028] Select multiple suspension point locations so that the positive and negative bending moments at these suspension point locations are equal in magnitude but opposite in direction;

[0029] Apply lifting force at multiple preset lifting point positions and calculate the positive and negative bending moments corresponding to each position;

[0030] According to the principle of maximum positive and negative bending moment equivalence, compare the bending moment distribution under different hanging point positions, and select the hanging point position that makes the positive and negative bending moments closest to equivalence;

[0031] At the determined hanging point positions, corresponding hanging point reinforcement ribs are arranged according to the stress characteristics and design requirements of the precast panels.

[0032] An intelligent design system for assembled prefabricated panels, comprising:

[0033] An identification module is used to identify the prefabricated panel outline, electromechanical point devices, and the centroid position of the electromechanical point devices in the CAD drawings or BIM models;

[0034] The first calculation module is used to calculate the number and position of truss reinforcements in the prefabricated panel and generate truss reinforcements;

[0035] The first judgment module is used to judge whether the electromechanical point device collides with the truss steel bar according to the centroid position of the electromechanical point device, and if so, modify the position of the truss steel bar to avoid the electromechanical point device;

[0036] The second calculation module is used to calculate the number and position of the stress-bearing bottom reinforcement of the precast panel in the precast panel and generate the stress-bearing bottom reinforcement;

[0037] The second judgment module is used to judge whether the electromechanical point device collides with the stress-bearing bottom rib. If so, the stress-bearing bottom rib is partially bent to avoid the electromechanical point device.

[0038] The third calculation module is used to calculate the position of the lifting point according to the principle of the maximum positive and negative bending moments in the lifting component and arrange the lifting point reinforcement;

[0039] The statistical module is used to count the weight and volume of precast panels, the electromechanical point devices in the precast panels, the number and length of truss bars, the number and length of load-bearing bottom bars, the number and length of hanging point reinforcement bars, and output statistical tables.

[0040] As a further optional solution of the intelligent design system for assembled prefabricated panels, the first judgment module includes:

[0041] A collision detection and avoidance unit is used to determine whether the truss reinforcement collides with the electromechanical point positioning device according to the centroid position of the electromechanical point positioning device, and automatically adjust the position of the truss reinforcement to avoid the electromechanical point positioning device when a collision is detected;

[0042] Iterate the optimization unit and repeat the collision detection and avoidance operations until there is no collision between all truss reinforcements and electromechanical point devices.

[0043] As a further optional solution of the intelligent design system for assembled prefabricated panels, the second calculation module includes:

[0044] A determination module is used to determine the length of the prefabricated panel along the X-axis direction and the Y-axis direction;

[0045] A setting module, used to set steel bar parameters, including steel bar spacing, distance between steel bars and plate edge, and distance between both ends of steel bars and plate edge;

[0046] The first execution module is used to calculate the number of steel bars parallel to the X-axis direction and the number of steel bars parallel to the Y-axis direction according to the length of the precast panel along the X-axis direction and the Y-axis direction and the steel bar parameters;

[0047] The second execution module is used to calculate the position of the steel bars according to the number of steel bars parallel to the X-axis direction and the number of steel bars parallel to the Y-axis direction;

[0048] The processing module is used to generate corresponding load-bearing bottom reinforcement in the precast panel according to the calculated number and position of reinforcement.

[0049] A computing device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above-mentioned method for intelligent design of assembled prefabricated panels when executing the computer program.

[0050] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the above-mentioned method for intelligent design of assembled prefabricated panels.

[0051] The beneficial effects of the present invention are as follows: by automatically identifying the outline of the precast panel, the electromechanical point device and its centroid position in the CAD drawing or BIM model, the errors and omissions in the manually input data are reduced, the design efficiency and accuracy are improved, the number and position of the truss steel bars and the load-bearing bottom bars are automatically calculated, and the tedious manual calculation process is avoided, and the design efficiency is further improved. In the design process, through the collision detection and avoidance mechanism, it is ensured that there is no collision between the truss steel bars and the load-bearing bottom bars and the electromechanical point device, the steel bar layout is optimized, and rework and modification during the construction process are avoided. When the load-bearing bottom bar collides, it adopts a partially bent method to avoid the electromechanical point device, which not only ensures the structural safety, but also makes full use of materials and reduces waste. According to the principle of equivalence of the maximum positive and negative bending moments in the lifting components Calculating the position of the lifting points and arranging the lifting point reinforcements effectively improves the structural safety of the prefabricated panels during the lifting process and reduces the risk of damage caused by improper lifting. Accurate reinforcement layout and avoidance design enable the prefabricated panels to distribute stress more evenly when bearing loads, thereby improving the bearing capacity and stability of the overall structure. Detailed statistical tables of the prefabricated panel weight, volume and internal reinforcement configuration information are output, which facilitates subsequent production, construction and management work. Clear reinforcement layout diagrams and avoidance plans help construction personnel to quickly and accurately understand the design intent and reduce construction difficulty and errors. This method integrates multiple intelligent links such as automatic identification, calculation optimization, collision detection and avoidance, information statistics and output, and significantly improves the intelligence level of prefabricated panel design. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0053] Figure 1 A schematic diagram of a process of an intelligent design method for assembled prefabricated panels according to the present invention;

[0054] Figure 2 The present invention is a schematic diagram of the composition of an intelligent design system for assembled prefabricated panels. DETAILED DESCRIPTION

[0055] The technical solutions in the embodiments of the present invention are described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0056] refer to Figure 1 to Figure 2 , an intelligent design method for assembled prefabricated panels, specifically comprising:

[0057] Step S1, identifying the prefabricated panel outline, electromechanical point device, and the centroid position of the electromechanical point device in the CAD drawing or BIM model;

[0058] Step S2, in the prefabricated panel, calculate the number and position of truss steel bars and generate truss steel bars;

[0059] Step S3, judging whether the electromechanical point location device collides with the truss reinforcement according to the centroid position of the electromechanical point location device, and if so, modifying the position of the truss reinforcement to avoid the electromechanical point location device;

[0060] Step S4, repeating the collision judgment and avoidance operation of step S3 for the truss steel bars after the position is modified, until no collision occurs;

[0061] Step S5, in the prefabricated board, calculating the number and position of the stress-bearing bottom reinforcement of the prefabricated board, and generating the stress-bearing bottom reinforcement;

[0062] Step S6, determining whether the electromechanical point device collides with the stressed bottom rib, if so, the stressed bottom rib is partially bent to avoid the electromechanical point device;

[0063] Step S7, calculating the position of the lifting point according to the principle of the maximum positive and negative bending moments in the lifting component, and arranging the lifting point reinforcement;

[0064] Step S8, count the weight and volume of the precast panels, the electromechanical point devices in the precast panels, the number and length of truss bars, the number and length of the load-bearing bottom bars, the number and length of the hanging point reinforcement bars, and output a statistical table.

[0065] In this embodiment, by automatically identifying the precast panel outline, electromechanical point device and its centroid position in the CAD drawing or BIM model, the errors and omissions of manually input data are reduced, the design efficiency and accuracy are improved, the number and position of the truss steel bars and the load-bearing bottom bars are automatically calculated, and the tedious manual calculation process is avoided, which further improves the design efficiency. In the design process, through the collision detection and avoidance mechanism, it is ensured that there is no collision between the truss steel bars and the load-bearing bottom bars and the electromechanical point device, the steel bar layout is optimized, and rework and modification during the construction process are avoided. When the load-bearing bottom bar collides, it adopts a partially bent method to avoid the electromechanical point device, which not only ensures the structural safety, but also makes full use of materials and reduces waste. The calculation is based on the principle of equivalence of the maximum positive and negative bending moments in the lifting components. The lifting point position and the arrangement of lifting point reinforcement ribs effectively improve the structural safety of the precast panel during the lifting process and reduce the risk of damage caused by improper lifting. The precise reinforcement layout and avoidance design enable the precast panel to distribute stress more evenly when bearing loads, thereby improving the bearing capacity and stability of the overall structure. The detailed statistical table of the precast panel weight, volume and internal reinforcement configuration information is output, which provides convenience for subsequent production, construction and management work. The clear reinforcement layout diagram and avoidance plan help construction personnel to quickly and accurately understand the design intent and reduce construction difficulty and errors. This method integrates multiple intelligent links such as automatic identification, calculation optimization, collision detection and avoidance, information statistics and output, which significantly improves the intelligence level of prefabricated panel design.

[0066] Preferably, the step of calculating the number and position of truss reinforcement bars in the prefabricated panel and generating the truss reinforcement bars specifically includes:

[0067] Obtain the geometric dimensions, load requirements and material properties of precast panels;

[0068] Determine material mechanics calculation parameters according to building structure design specifications;

[0069] The geometric dimensions, load requirements, material properties and material mechanics calculation parameters of the precast panel are input into the material mechanics formula, and the material mechanics formula calculates the strength and allowable stress of the truss reinforcement according to the geometric dimensions, load requirements, material properties and calculation parameters of the precast panel;

[0070] The calculated strength and allowable stress of the truss reinforcement are input into the strength verification formula. The strength verification formula calculates the cross-sectional area of ​​the reinforcement to determine the required number and length of truss reinforcement.

[0071] In this embodiment, by obtaining the geometric dimensions, load-bearing requirements and material properties of the prefabricated panels, and determining the material mechanics calculation parameters according to the building structure design specifications, this step ensures the scientificity and rigor of the design process. The material mechanics formula and the strength verification formula are used for calculation, and the strength and allowable stress of the truss reinforcement and the required steel bar cross-sectional area can be accurately calculated, thereby accurately determining the number and length of the truss reinforcement. The automated calculation process reduces the time and error rate of manual calculations and improves design efficiency. Accurate calculation results can reduce repeated modifications during the design process and further speed up the design progress. By accurately calculating the required number and length of truss reinforcements, the use of materials can be optimized, waste can be avoided, and construction costs can be reduced. The application of the strength verification formula ensures that the design of the truss reinforcement meets the strength and stability requirements, thereby improving the structural safety of the prefabricated panels.

[0072] Preferably, the step of calculating the number and position of the stress-bearing bottom reinforcements of the prefabricated panel and generating the stress-bearing bottom reinforcements in the prefabricated panel specifically includes:

[0073] Determine the length of the precast panel along the X-axis and Y-axis directions;

[0074] Setting reinforcement parameters, including reinforcement spacing, distance between reinforcement and plate edge, and distance between both ends of reinforcement and plate edge;

[0075] According to the length of the precast panel along the X-axis direction and the Y-axis direction, and the steel bar parameters, the number of steel bars parallel to the X-axis direction and the number of steel bars parallel to the Y-axis direction are calculated;

[0076] The position of the steel bars is calculated based on the number of steel bars parallel to the X-axis and the number of steel bars parallel to the Y-axis.

[0077] Based on the calculated number and position of steel bars, the corresponding load-bearing bottom reinforcement is generated in the precast slab.

[0078] In this embodiment, by accurately measuring the length of the prefabricated panel along the X-axis and the Y-axis, and combining with the detailed set steel bar parameters (such as spacing, distance from the panel edge, etc.), it is possible to ensure that the design of the stress-bearing bottom reinforcement is more accurate. This accurate design helps to optimize the bearing capacity and stress distribution of the prefabricated panel, thereby improving the stability and safety of the overall structure; on the basis of accurately calculating the number and position of steel bars, unnecessary material waste can be minimized, and a reasonable steel bar layout can not only meet the structural requirements, but also effectively control costs and achieve efficient use of materials; a reasonable stress-bearing bottom reinforcement design can significantly improve the mechanical properties of the prefabricated panel, such as bending resistance and shear resistance, thereby enhancing the reliability of the entire structure, which is crucial to ensuring the safety and stability of buildings or structures during long-term use; through an automated or semi-automated calculation generation process, the number and position of the stress-bearing bottom reinforcement can be quickly and accurately determined, and the prefabricated panel can be manufactured and constructed accordingly, which can not only reduce human errors, but also shorten the construction period and improve construction efficiency.

[0079] It should be noted that, first, the length of the precast panel along the X direction and the Y direction needs to be determined, which are denoted as lx and ly respectively;

[0080] Set the reinforcement parameters, including the reinforcement spacing dgj, the distances sgj1 and sgj2 between the reinforcement and the plate edge, and the distances bgj between the two ends of the reinforcement and the plate edge;

[0081] For the X direction, calculate the number of steel bars ngjx parallel to the X direction according to the formula ngjx = [ly-(sgj1+sgj2)] / dgj + 1 (when [ly-(sgj1+sgj2)] / dgj is not an integer, add 2 to ensure that the steel bars cover the entire slab width);

[0082] Similarly, for the Y direction, according to the formula ngjy = [lx-(sgj1+sgj2)] / dgj + 1 (same conditions as above), calculate the number of steel bars ngjy parallel to the Y direction;

[0083] For odd-numbered precast panels, calculate the center coordinates of the beginning and end of each steel bar parallel to the X direction (or Y direction). For example, the center coordinates of the beginning and end of the i-th steel bar parallel to the X direction are (bgj, sgj1+i*dgj) and (ly-bgj,sgj1+i*dgj) respectively.

[0084] For the precast panels with even numbers, the values ​​of sgj1 and sgj2 are swapped and the above calculation process is repeated;

[0085] According to the calculated number and position of steel bars, the corresponding load-bearing bottom bars are generated in the precast slab. These load-bearing bottom bars will be arranged at the set spacing and position to withstand various loads during the use of the precast slab.

[0086] Preferably, the calculating of the lifting point position according to the principle of equivalence of the maximum positive and negative bending moments in the lifting member and the arranging of the lifting point reinforcement ribs specifically include:

[0087] Select multiple suspension point locations so that the positive and negative bending moments at these suspension point locations are equal in magnitude but opposite in direction;

[0088] Apply lifting force at multiple preset lifting point positions and calculate the positive and negative bending moments corresponding to each position;

[0089] According to the principle of maximum positive and negative bending moment equivalence, compare the bending moment distribution under different hanging point positions, and select the hanging point position that makes the positive and negative bending moments closest to equivalence;

[0090] At the determined hanging point positions, corresponding hanging point reinforcement ribs are arranged according to the stress characteristics and design requirements of the precast panels.

[0091] In this embodiment, by selecting multiple lifting point positions and calculating the corresponding positive and negative bending moments, the optimal lifting point position that makes the positive and negative bending moments closest to the same value can be found. This equivalence principle helps to reduce the deformation and stress concentration of the prefabricated panels due to uneven force during the lifting process, thereby improving the stability and safety of the prefabricated panels during the lifting process; reasonable lifting point positions can ensure the balance of the prefabricated panels during the lifting process, reduce the time and labor costs consumed by adjusting the lifting point positions, and at the same time, reduce rework and repair work caused by improper lifting, further improving the overall construction efficiency; arranging lifting point reinforcement ribs at the determined lifting point positions can locally strengthen the prefabricated panels according to the force characteristics during the lifting process, thereby improving the bearing capacity and Durability is of great significance for ensuring the structural integrity and safety of prefabricated panels under complex working conditions; by accurately calculating the position of the lifting points and arranging the reinforcement ribs, the risk of safety accidents such as breakage and deformation of the prefabricated panels during the lifting process can be significantly reduced, which is of great significance for protecting the personal safety of construction workers and reducing property losses during the construction process; the technical solution adopts parametric design and intelligent calculation methods, which can automatically complete the optimization of the lifting point position and the arrangement of reinforcement ribs, which helps to improve the level of intelligence in the design of prefabricated prefabricated panels, reduce interference and errors caused by human factors, and improve design accuracy and efficiency; by improving the design and production efficiency of prefabricated panels, reducing construction costs and risks, and providing strong support for the application of prefabricated buildings in a wider range of fields.

[0092] It should be noted that, according to the shape, size, weight distribution and expected lifting method of the prefabricated board, multiple candidate lifting point positions are preset on the prefabricated board; a simulated lifting force is applied to each candidate lifting point position, and the positive and negative bending moments generated when the prefabricated board is lifted at these positions are calculated using finite element analysis or other mechanical analysis methods; the positive and negative bending moment values ​​of all candidate lifting point positions are compared, and one or several positions are selected so that the positive and negative bending moments at these positions are as equal as possible but opposite in direction, in order to ensure that the prefabricated board is subjected to uniform force during the lifting process and reduce deformation or damage caused by uneven force; if necessary, the lifting point position can be further adjusted, and the optimal lifting point position that makes the positive and negative bending moments closest to the same value can be found through iterative calculation and optimization algorithm; at the determined lifting point position, the corresponding lifting point reinforcement ribs are arranged according to the force characteristics and design requirements of the prefabricated board. These reinforcement ribs are used to enhance the local strength near the lifting point to ensure the structural safety of the prefabricated board during lifting and transportation.

[0093] In addition, the general hanging points are set on the truss reinforcement, and 2 or 3 hanging points are set on the same truss reinforcement. According to the principles of structural mechanics, for the case of two hanging points, they are set at 1 / 4 of the distance from the edge of the plate, and the maximum bending moment of the precast plate is the smallest. If the long side dimension of the precast plate is lb, the hanging point positions are lb / 4 and 3*lb / 4 respectively. For the case of three hanging points, in order to simplify the calculation, the hanging point positions are set at lb / 5, lb / 2 and 4*lb / 5.

[0094] An intelligent design system for assembled prefabricated panels, comprising:

[0095] An identification module is used to identify the prefabricated panel outline, electromechanical point devices, and the centroid position of the electromechanical point devices in the CAD drawings or BIM models;

[0096] The first calculation module is used to calculate the number and position of truss reinforcements in the prefabricated panel and generate truss reinforcements;

[0097] The first judgment module is used to judge whether the electromechanical point device collides with the truss steel bar according to the centroid position of the electromechanical point device, and if so, modify the position of the truss steel bar to avoid the electromechanical point device;

[0098] The second calculation module is used to calculate the number and position of the stress-bearing bottom reinforcement of the precast panel in the precast panel and generate the stress-bearing bottom reinforcement;

[0099] The second judgment module is used to judge whether the electromechanical point device collides with the stress-bearing bottom rib. If so, the stress-bearing bottom rib is partially bent to avoid the electromechanical point device.

[0100] The third calculation module is used to calculate the position of the lifting point according to the principle of the maximum positive and negative bending moments in the lifting component and arrange the lifting point reinforcement;

[0101] The statistical module is used to count the weight and volume of precast panels, the electromechanical point devices in the precast panels, the number and length of truss bars, the number and length of load-bearing bottom bars, the number and length of hanging point reinforcement bars, and output statistical tables.

[0102] Preferably, the first judgment module includes:

[0103] A collision detection and avoidance unit is used to determine whether the truss reinforcement collides with the electromechanical point positioning device according to the centroid position of the electromechanical point positioning device, and automatically adjust the position of the truss reinforcement to avoid the electromechanical point positioning device when a collision is detected;

[0104] Iterate the optimization unit and repeat the collision detection and avoidance operations until there is no collision between all truss reinforcements and electromechanical point devices.

[0105] Preferably, the second calculation module includes:

[0106] A determination module is used to determine the length of the prefabricated panel along the X-axis direction and the Y-axis direction;

[0107] A setting module, used to set steel bar parameters, including steel bar spacing, distance between steel bars and plate edge, and distance between both ends of steel bars and plate edge;

[0108] The first execution module is used to calculate the number of steel bars parallel to the X-axis direction and the number of steel bars parallel to the Y-axis direction according to the length of the precast panel along the X-axis direction and the Y-axis direction and the steel bar parameters;

[0109] The second execution module is used to calculate the position of the steel bars according to the number of steel bars parallel to the X-axis direction and the number of steel bars parallel to the Y-axis direction;

[0110] The processing module is used to generate corresponding load-bearing bottom reinforcement in the precast panel according to the calculated number and position of reinforcement.

[0111] A computing device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above-mentioned method for intelligent design of assembled prefabricated panels when executing the computer program.

[0112] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the above-mentioned method for intelligent design of assembled prefabricated panels.

[0113] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. An intelligent design method for prefabricated panels, characterized in that: Specifically include: Step S1, identifying the prefabricated panel outline, electromechanical point device, and the centroid position of the electromechanical point device in the CAD drawing or BIM model; Step S2, in the prefabricated panel, calculate the number and position of truss steel bars and generate truss steel bars; Step S3, judging whether the electromechanical point location device collides with the truss reinforcement according to the centroid position of the electromechanical point location device, and if so, modifying the position of the truss reinforcement to avoid the electromechanical point location device; Step S4, repeating the collision judgment and avoidance operation of step S3 for the truss steel bars after the position is modified, until no collision occurs; Step S5, in the prefabricated board, calculating the number and position of the stress-bearing bottom reinforcement of the prefabricated board, and generating the stress-bearing bottom reinforcement; Step S6, determining whether the electromechanical point device collides with the stressed bottom rib, if so, the stressed bottom rib is partially bent to avoid the electromechanical point device; Step S7, calculating the position of the lifting point according to the principle of the maximum positive and negative bending moments in the lifting component, and arranging the lifting point reinforcement; Step S8: Count the weight and volume of the prefabricated board, the electromechanical point devices in the prefabricated board, the number and length of the truss bars, the number and length of the stress-bearing bottom bars, and the number and length of the hanging point reinforcement bars, and output the statistical table The step of calculating the number and position of truss reinforcement bars in the prefabricated panel and generating the truss reinforcement bars specifically includes: Obtain the geometric dimensions, load requirements and material properties of precast panels; Determine material mechanics calculation parameters according to building structure design specifications; The geometric dimensions, load requirements, material properties and material mechanics calculation parameters of the precast panel are input into the material mechanics formula, and the material mechanics formula calculates the strength and allowable stress of the truss reinforcement according to the geometric dimensions, load requirements, material properties and calculation parameters of the precast panel; The calculated strength and allowable stress of the truss reinforcement are input into the strength verification formula. The strength verification formula calculates the cross-sectional area of ​​the reinforcement, thereby determining the required number and length of truss reinforcements. The calculation of the number and position of the stress-bearing bottom reinforcements of the precast slab and the generation of the stress-bearing bottom reinforcements in the precast slab specifically includes: Determine the length of the precast panel along the X-axis and Y-axis directions; Setting reinforcement parameters, including reinforcement spacing, distance between reinforcement and plate edge, and distance between both ends of reinforcement and plate edge; According to the length of the precast panel along the X-axis direction and the Y-axis direction, and the steel bar parameters, the number of steel bars parallel to the X-axis direction and the number of steel bars parallel to the Y-axis direction are calculated; The position of the steel bars is calculated based on the number of steel bars parallel to the X-axis and the number of steel bars parallel to the Y-axis. Generate corresponding force-bearing bottom reinforcement in the precast slab according to the calculated number and position of reinforcements; The method of calculating the position of the lifting point according to the principle of equal value of the maximum positive and negative bending moments in the lifting components and arranging the lifting point reinforcement ribs specifically includes: Select multiple suspension point locations so that the positive and negative bending moments at these suspension point locations are equal in magnitude but opposite in direction; Apply lifting force at multiple preset lifting point positions and calculate the positive and negative bending moments corresponding to each position; According to the principle of maximum positive and negative bending moment equivalence, compare the bending moment distribution under different hanging point positions, and select the hanging point position that makes the positive and negative bending moments closest to equivalence; At the determined hanging point positions, corresponding hanging point reinforcement ribs are arranged according to the stress characteristics and design requirements of the precast panels.

2. An intelligent design system for prefabricated panels, characterized in that: The system uses the intelligent design method for prefabricated panels described in claim 1, specifically comprising: An identification module is used to identify the prefabricated panel outline, electromechanical point devices, and the centroid position of the electromechanical point devices in the CAD drawings or BIM models; The first calculation module is used to calculate the number and position of truss reinforcements in the prefabricated panel and generate truss reinforcements; The first judgment module is used to judge whether the electromechanical point device collides with the truss steel bar according to the centroid position of the electromechanical point device, and if so, modify the position of the truss steel bar to avoid the electromechanical point device; The second calculation module is used to calculate the number and position of the stress-bearing bottom reinforcement of the precast panel in the precast panel and generate the stress-bearing bottom reinforcement; The second judgment module is used to judge whether the electromechanical point device collides with the stress-bearing bottom rib. If so, the stress-bearing bottom rib is partially bent to avoid the electromechanical point device. The third calculation module is used to calculate the position of the lifting point according to the principle of the maximum positive and negative bending moments in the lifting component and arrange the lifting point reinforcement; The statistical module is used to count the weight and volume of precast panels, the electromechanical point devices in the precast panels, the number and length of truss bars, the number and length of load-bearing bottom bars, the number and length of hanging point reinforcement bars, and output statistical tables.

3. The intelligent design system for prefabricated panels according to claim 2 is characterized in that: The first judgment module includes: A collision detection and avoidance unit is used to determine whether the truss reinforcement collides with the electromechanical point positioning device according to the centroid position of the electromechanical point positioning device, and automatically adjust the position of the truss reinforcement to avoid the electromechanical point positioning device when a collision is detected; Iterate the optimization unit and repeat the collision detection and avoidance operations until there is no collision between all truss reinforcements and electromechanical point devices.

4. The intelligent design system for prefabricated panels according to claim 3 is characterized in that: The second calculation module includes: A determination module is used to determine the length of the prefabricated board along the X-axis direction and the Y-axis direction; A setting module, used to set steel bar parameters, including steel bar spacing, distance between steel bars and plate edge, and distance between both ends of the steel bars and plate edge; The first execution module is used to calculate the number of steel bars parallel to the X-axis direction and the number of steel bars parallel to the Y-axis direction according to the length of the precast panel along the X-axis direction and the Y-axis direction and the steel bar parameters; The second execution module is used to calculate the position of the steel bars according to the number of steel bars parallel to the X-axis direction and the number of steel bars parallel to the Y-axis direction; The processing module is used to generate corresponding load-bearing bottom reinforcement in the precast panel according to the calculated number and position of reinforcement.

5. A computing device, characterized in that: The method comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method for intelligent design of prefabricated panels as claimed in claim 1 when executing the computer program.

6. A computer-readable storage medium, characterized in that: The storage medium stores a computer program, which, when executed by a processor, implements the steps of the method for intelligent design of prefabricated panels according to claim 1.

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