CN115374526B - Refined reinforcement method and system based on BIM technology - Google Patents
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Abstract
The invention discloses a refined reinforcement method and system based on a BIM technology, which are characterized in that a structure internal force distribution diagram is obtained by obtaining a basic building model based on the BIM and carrying out stress analysis, reinforcement model building is carried out according to the structure internal force distribution diagram, a reinforcement building model with reinforcement information is further obtained, the reinforcement building model is subjected to corresponding collision simulation detection, an optimized reinforcement building model can be obtained, and the model fineness is improved. Compared with the traditional mode of manually calculating reinforcement information, the reinforcement design refinement method greatly improves the refinement degree of reinforcement design and the efficiency of overall reinforcement design, and further achieves refinement and digitization of reinforcement design.
Description
Technical Field
The invention relates to the field of building structures, in particular to a refined reinforcement method and a refined reinforcement system based on a BIM (building information modeling) technology.
Background
With the continuous development and progress of modern computer graphics technology, the Building Information Model (BIM) technology is continuously and deeply applied in the field of infrastructure, so that the efficiency of design and construction is greatly improved. The traditional structural plane reinforcement implementation scheme is usually based on the classic structural component reinforcement theory, and reinforcement configuration, structural optimization and calculation amount statistics are carried out according to the calculation analysis result of an engineer. However, the method for arranging the reinforcing steel bars through manual calculation is time-consuming, labor-consuming and limited in precision, and cannot well meet all requirements of reinforcing steel bar arrangement of the building.
Therefore, a building reinforcement method using a modern technical means is needed, and the method has the functions of improving the building reinforcement allocation efficiency and improving the reinforcement allocation fineness.
Disclosure of Invention
In order to solve at least one technical problem, the invention provides a refined reinforcement allocation method and system based on a BIM technology.
The invention provides a refined reinforcement method based on a BIM technology, which comprises the following steps:
acquiring a basic building model based on BIM, and carrying out stress analysis on the basic building model to obtain a corresponding basic structure model;
performing structural internal force optimization analysis according to the basic structure model, and obtaining an analyzed structural internal force distribution diagram;
building a reinforcement distribution model according to the structural internal force distribution diagram to obtain a three-dimensional reinforcement model, and performing model fusion on the three-dimensional reinforcement model and the foundation structure model to obtain a reinforcement distribution building model;
and performing collision model detection on the reinforcement building model, and performing reinforcement structure correction on the reinforcement building model according to a detection result to obtain an optimized reinforcement building model.
In this scheme, obtaining the building model based on BIM, carrying out stress analysis and obtaining the corresponding infrastructure model with the building model, specifically do:
analyzing the main stress points of the basic building model to obtain the position information of the main stress points;
splitting a structural model according to the position information of the stress point to obtain a plurality of basic structural models;
and analyzing the splitting position of the model structure according to the basic building model and the plurality of basic structure models to obtain the splitting information of the building model.
In this scheme, carry out structure internal force optimization analysis according to the infrastructure model to obtain the structure internal force distribution map after the analysis, specifically do:
carrying out internal force analysis on the plurality of basic structure models to obtain a plurality of corresponding model internal force distribution maps;
according to the building model splitting information, carrying out distribution map merging on the plurality of model internal force distribution maps to obtain a structure internal force distribution map;
performing internal force density area analysis according to the structure internal force distribution diagram to obtain an internal force sparse area and an internal force dense area;
and carrying out structure dense optimization on the internal force sparse area, and carrying out structure sparse adjustment on the internal force dense area to obtain an optimized structure internal force distribution diagram.
In this scheme, carry out the construction of arrangement of reinforcement model according to structure internal force distribution diagram, obtain three-dimensional steel bar model, carry out the model integration with three-dimensional steel bar model and foundation structure model, obtain the construction model of arrangement of reinforcement, specifically do:
generating reinforcement parameter information according to the structure internal force distribution diagram;
carrying out reinforcement specification analysis and three-dimensional scene construction according to reinforcement parameter information to obtain a three-dimensional reinforcement model;
and carrying out spatial position fusion on the three-dimensional steel bar model and the foundation structure model to obtain the reinforced building model.
In this scheme, carry out collision model detection with the reinforcement building model to carry out steel bar structure to the reinforcement building model according to the testing result and revise, obtain the reinforcement building model after optimizing, specifically do:
analyzing the external and internal structure positions according to the reinforcement building model to obtain model external position information and model internal position information;
carrying out random point taking according to the external position information of the model to obtain external position test point data;
importing the external position test point data and the reinforcement building model into a physical collision model to carry out reinforcement strength simulation test to obtain test point result data;
according to test point result data, recording test points which do not accord with preset conditions and acquiring reinforcement building model positions corresponding to the test points to obtain reinforcement position information to be corrected;
and carrying out reinforcement optimization setting of corresponding positions according to the reinforcement position information to be corrected and obtaining an optimized reinforcement building model.
In this scheme, carry out collision model detection with the reinforcement building model to carry out steel bar structure to the reinforcement building model according to the testing result and revise, obtain the reinforcement building model after optimizing, specifically do:
obtaining the internal position information of the model;
guiding the internal position information of the model and the reinforcement building model into an internal collision model for reinforcement collision simulation analysis to obtain the position information of the conflict point;
and carrying out reinforcement position optimization setting on the reinforcement building model according to the conflict point position information to obtain a reinforcement building model after secondary optimization.
In this scheme, carry out collision model with the reinforcement building model and detect to carry out steel bar structure to the reinforcement building model according to the testing result and revise, obtain the reinforcement building model after optimizing, still include:
sectioning the reinforcement building model according to the model structure to obtain reinforcement image data;
carrying out reinforcement attribute labeling on the reinforcement image data and generating reinforcement drawing data;
analyzing and counting reinforcement quantity of the reinforcement building model to generate reinforcement project quantity data;
and sending the reinforcement drawing data and the reinforcement engineering scale data to preset terminal equipment for displaying.
The second aspect of the present invention further provides a refined reinforcement system based on the BIM technology, which includes: the reinforcement refinement method based on the BIM technology comprises a memory and a processor, wherein the memory comprises a reinforcement refinement method program based on the BIM technology, and the reinforcement refinement method program based on the BIM technology realizes the following steps when being executed by the processor:
acquiring a basic building model based on BIM, and carrying out stress analysis on the basic building model to obtain a corresponding basic structure model;
performing structural internal force optimization analysis according to the basic structure model, and obtaining an analyzed structural internal force distribution diagram;
building a reinforcement distribution model according to the structural internal force distribution diagram to obtain a three-dimensional reinforcement model, and performing model fusion on the three-dimensional reinforcement model and the foundation structure model to obtain a reinforcement distribution building model;
and performing collision model detection on the reinforcement building model, and performing reinforcement structure correction on the reinforcement building model according to a detection result to obtain an optimized reinforcement building model.
In this scheme, obtaining the building model based on BIM, carrying out stress analysis and obtaining the corresponding infrastructure model with the building model, specifically do:
analyzing the main stress points of the basic building model to obtain the position information of the main stress points;
splitting a structural model according to the position information of the stress point to obtain a plurality of basic structural models;
and analyzing the splitting position of the model structure according to the basic building model and the plurality of basic structure models to obtain the splitting information of the building model.
In this scheme, carry out the construction of reinforcement model according to the structure internal force distribution map, obtain three-dimensional steel bar model, carry out the model fusion with three-dimensional steel bar model and foundation structure model, obtain reinforcement building model, specifically do:
generating reinforcement parameter information according to the structure internal force distribution diagram;
carrying out reinforcement specification analysis and three-dimensional scene construction according to reinforcement parameter information to obtain a three-dimensional reinforcement model;
and carrying out spatial position fusion on the three-dimensional steel bar model and the foundation structure model to obtain the reinforced building model.
The invention discloses a refined reinforcement method and system based on a BIM technology, which are characterized in that a structure internal force distribution diagram is obtained by obtaining a basic building model based on the BIM and carrying out stress analysis, reinforcement model building is carried out according to the structure internal force distribution diagram, a reinforcement building model with reinforcement information is further obtained, the reinforcement building model is subjected to corresponding collision simulation detection, an optimized reinforcement building model can be obtained, and the model fineness is improved. Compared with the traditional mode of manually calculating reinforcement information, the reinforcement design refinement method greatly improves the refinement degree of reinforcement design and the efficiency of overall reinforcement design, and further achieves refinement and digitization of reinforcement design.
Drawings
FIG. 1 shows a flow chart of a refined reinforcement allocation method based on BIM technology;
FIG. 2 illustrates a flow chart of the present invention for obtaining building model split information;
FIG. 3 illustrates a flow chart of the present invention for obtaining a reinforced building model;
fig. 4 shows a block diagram of a refined reinforcement system based on the BIM technology.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those specifically described herein, and therefore the scope of the present invention is not limited by the specific embodiments disclosed below.
Fig. 1 shows a flow chart of a refined reinforcement allocation method based on the BIM technology.
As shown in fig. 1, a first aspect of the present invention provides a refined reinforcement allocation method based on a BIM technique, including:
s102, acquiring a basic building model based on BIM, and carrying out stress analysis on the basic building model to obtain a corresponding basic structure model;
s104, performing structural internal force optimization analysis according to the basic structure model, and obtaining an analyzed structural internal force distribution diagram;
s106, building a reinforcement distribution model according to the structural internal force distribution diagram to obtain a three-dimensional reinforcement model, and carrying out model fusion on the three-dimensional reinforcement model and a foundation structure model to obtain a reinforcement distribution building model;
and S108, performing collision model detection on the reinforced building model, and performing reinforcement structure correction on the reinforced building model according to a detection result to obtain an optimized reinforced building model.
FIG. 2 shows a flow chart of the present invention for obtaining building model split information.
According to the embodiment of the invention, the acquiring of the BIM-based basic building model, the stress analysis of the basic building model and the acquisition of the corresponding basic structure model specifically comprise:
s202, analyzing the main stress points of the basic building model to obtain the position information of the main stress points;
s204, splitting a structural model according to the stress point position information to obtain a plurality of basic structural models;
and S206, analyzing the splitting position of the model structure according to the basic building model and the plurality of basic structure models to obtain the splitting information of the building model.
It should be noted that the foundation building model can be obtained by performing a certain spatial combination on the plurality of foundation structure models. The building model splitting information includes dividing position information and splitting position number information of the basic building model. And splitting a structural model according to the stress point position information to obtain a plurality of basic structure models, wherein the basic building model comprises a plurality of basic structure models.
According to the embodiment of the invention, the structural internal force optimization analysis is performed according to the basic structure model, and the analyzed structural internal force distribution diagram is obtained, specifically:
carrying out internal force analysis on the plurality of basic structure models to obtain a plurality of corresponding model internal force distribution maps;
according to the building model splitting information, carrying out distribution map merging on the plurality of model internal force distribution maps to obtain a structure internal force distribution map;
performing internal force density area analysis according to the structure internal force distribution diagram to obtain an internal force sparse area and an internal force dense area;
and carrying out structure dense optimization on the internal force sparse area, and carrying out structure sparse adjustment on the internal force dense area to obtain an optimized structure internal force distribution diagram.
It should be noted that, the internal force density region analysis is performed according to the structure internal force distribution diagram to obtain the internal force sparse region and the internal force dense region, generally, the internal force density analysis is performed on the structure internal force distribution diagram, and the internal force sparse region is compared with a preset density value to obtain the internal force dense region larger than the preset density value and the internal force sparse region smaller than the preset density value, and the preset density value is generally determined according to the building structure and scale.
Fig. 3 shows a flow chart of obtaining a reinforced building model according to the invention.
According to the embodiment of the invention, the reinforcement configuration model is built according to the structure internal force distribution diagram to obtain a three-dimensional reinforcement model, the three-dimensional reinforcement model and the foundation structure model are subjected to model fusion to obtain a reinforcement configuration building model, and the concrete steps are as follows:
s302, generating reinforcement parameter information according to the structure internal force distribution diagram;
s304, performing reinforcement specification analysis and three-dimensional scene construction according to reinforcement parameter information to obtain a three-dimensional reinforcement model;
and S306, carrying out spatial position fusion on the three-dimensional steel bar model and the foundation structure model to obtain a reinforced building model.
It should be noted that, in the spatial position fusion of the three-dimensional steel bar model and the foundation structure model, specifically, the three-dimensional steel bar model is embedded into the foundation structure model, the obtained reinforcement building model includes an external building structure and an internal steel bar structure, and the viewing at any angle can be performed through a preset terminal device.
According to the embodiment of the invention, the collision model detection is carried out on the reinforcement building model, and the reinforcement structure correction is carried out on the reinforcement building model according to the detection result to obtain the optimized reinforcement building model, which specifically comprises the following steps:
analyzing the external and internal structure positions according to the reinforcement building model to obtain model external position information and model internal position information;
carrying out random point taking according to the external position information of the model to obtain external position test point data;
leading the external position test point data and the reinforcement building model into a physical collision model for carrying out reinforcement strength simulation test to obtain test point result data;
recording test points which do not accord with preset conditions according to test point result data, and acquiring a reinforcement building model position corresponding to the test points to obtain reinforcement position information to be corrected;
and carrying out reinforcement optimization setting of corresponding positions according to the reinforcement position information to be corrected and obtaining an optimized reinforcement building model.
It should be noted that, in the process of guiding the external position test point data and the reinforcement building model into the physical collision model for carrying out the reinforcement strength simulation test, the physical collision model has the function of simulating and testing the building surface rigidity strength of the building model, the test point result data includes test points meeting and not meeting preset conditions, and the preset conditions are collision test passing conditions. And performing reinforcement optimization setting at corresponding positions according to the reinforcement position information to be corrected to obtain an optimized reinforcement building model, wherein the reinforcement optimization setting is specifically reinforcement structure reinforcement optimization setting at the corresponding positions of the reinforcement building model.
According to the embodiment of the invention, the collision model detection is carried out on the reinforcement building model, and the reinforcement structure correction is carried out on the reinforcement building model according to the detection result to obtain the optimized reinforcement building model, which specifically comprises the following steps:
obtaining the internal position information of the model;
guiding the internal position information of the model and the reinforcement building model into an internal collision model for reinforcement collision simulation analysis to obtain the position information of the conflict point;
and carrying out reinforcement position optimization setting on the reinforcement building model according to the conflict point position information to obtain a reinforcement building model after secondary optimization.
It should be noted that the simulation analysis of reinforcement conflict is specifically to analyze the conflict situation between the reinforcement structure in the reinforcement building model and the internal physical structures of other buildings.
According to the embodiment of the invention, the collision model detection of the reinforcement building model is performed, and the reinforcement structure correction of the reinforcement building model is performed according to the detection result to obtain the optimized reinforcement building model, further comprising:
sectioning the reinforcement building model according to the model structure to obtain reinforcement image data;
carrying out reinforcement attribute labeling on the reinforcement image data and generating reinforcement drawing data;
analyzing and counting reinforcement quantity of the reinforcement building model to generate reinforcement project quantity data;
and sending the reinforcement drawing data and the reinforcement engineering scale data to preset terminal equipment for displaying.
It should be noted that the reinforcement attribute label includes attributes such as specification type, length, and distance of the reinforcement. The data of the reinforcement engineering scale comprise the number, the schematic diagram, the specification, the length and the like of the reinforcement. The preset terminal equipment comprises mobile terminal equipment and computer terminal equipment.
Fig. 4 shows a block diagram of a refined reinforcement system based on the BIM technology.
The second aspect of the present invention also provides a refined reinforcement system 4 based on the BIM technology, which includes: a memory 41 and a processor 42, where the memory includes a refined reinforcement allocation method program based on the BIM technique, and when executed by the processor, the refined reinforcement allocation method program based on the BIM technique implements the following steps:
acquiring a basic building model based on BIM, and carrying out stress analysis on the basic building model to obtain a corresponding basic structure model;
performing structural internal force optimization analysis according to the basic structure model, and obtaining an analyzed structural internal force distribution diagram;
building a reinforcement distribution model according to the structural internal force distribution diagram to obtain a three-dimensional reinforcement model, and performing model fusion on the three-dimensional reinforcement model and the foundation structure model to obtain a reinforcement distribution building model;
and performing collision model detection on the reinforcement building model, and performing reinforcement structure correction on the reinforcement building model according to a detection result to obtain an optimized reinforcement building model.
According to the embodiment of the invention, the acquiring of the BIM-based basic building model, the stress analysis of the basic building model and the acquisition of the corresponding basic structure model specifically comprise:
analyzing the main stress points of the basic building model to obtain the position information of the main stress points;
splitting a structural model according to the position information of the stress point to obtain a plurality of basic structural models;
and analyzing the splitting position of the model structure according to the basic building model and the plurality of basic structure models to obtain the splitting information of the building model.
It should be noted that the foundation building model can be obtained by performing a certain spatial combination on the plurality of foundation structure models. The building model splitting information includes splitting position information and splitting position number information of the basic building model. And splitting a structural model according to the stress point position information to obtain a plurality of foundation structure models, wherein each foundation building model comprises a plurality of foundation structure models.
According to the embodiment of the invention, the structural internal force optimization analysis is performed according to the basic structure model, and an analyzed structural internal force distribution diagram is obtained, specifically:
performing internal force analysis on the plurality of basic structure models to obtain a plurality of corresponding model internal force distribution maps;
according to the building model splitting information, carrying out distribution map merging on the plurality of model internal force distribution maps to obtain a structure internal force distribution map;
performing internal force density region analysis according to the structural internal force distribution diagram to obtain an internal force sparse region and an internal force dense region;
and carrying out structure dense optimization on the internal force sparse area, and carrying out structure sparse adjustment on the internal force dense area to obtain an optimized structure internal force distribution diagram.
It should be noted that, the internal force density region analysis is performed according to the structure internal force distribution diagram to obtain the internal force sparse region and the internal force dense region, generally, the internal force density analysis is performed on the structure internal force distribution diagram, and the internal force sparse region is compared with a preset density value to obtain the internal force dense region larger than the preset density value and the internal force sparse region smaller than the preset density value, and the preset density value is generally determined according to the building structure and scale.
According to the embodiment of the invention, the reinforcement configuration model is built according to the structure internal force distribution diagram to obtain a three-dimensional reinforcement model, the three-dimensional reinforcement model and the foundation structure model are subjected to model fusion to obtain a reinforcement configuration building model, and the concrete steps are as follows:
generating reinforcement parameter information according to the structural internal force distribution diagram;
performing reinforcement specification analysis and three-dimensional scene construction according to the reinforcement parameter information to obtain a three-dimensional reinforcement model;
and carrying out spatial position fusion on the three-dimensional steel bar model and the foundation structure model to obtain the reinforced building model.
It should be noted that, in the spatial position fusion of the three-dimensional steel bar model and the foundation structure model, specifically, the three-dimensional steel bar model is embedded into the foundation structure model, the obtained reinforcement building model includes an external building structure and an internal steel bar structure, and the viewing at any angle can be performed through a preset terminal device.
According to the embodiment of the invention, the collision model detection is carried out on the reinforcement building model, and the reinforcement structure correction is carried out on the reinforcement building model according to the detection result to obtain the optimized reinforcement building model, which specifically comprises the following steps:
analyzing the external and internal structure positions according to the reinforcement building model to obtain model external position information and model internal position information;
randomly fetching points according to the external position information of the model to obtain external position test point data;
importing the external position test point data and the reinforcement building model into a physical collision model to carry out reinforcement strength simulation test to obtain test point result data;
recording test points which do not accord with preset conditions according to test point result data, and acquiring a reinforcement building model position corresponding to the test points to obtain reinforcement position information to be corrected;
and carrying out reinforcement optimization setting of corresponding positions according to the reinforcement position information to be corrected and obtaining an optimized reinforcement building model.
It should be noted that, in the process of guiding the external position test point data and the reinforcement building model into the physical collision model for performing the reinforcement strength simulation test, the physical collision model has a function of simulating and testing the rigidity strength of the building surface of the building model, the test point result data includes test points meeting preset conditions and test points not meeting the preset conditions, and the preset conditions are collision test passing conditions. And carrying out reinforcement optimization setting of corresponding positions according to the position information of the reinforcement to be corrected and obtaining the optimized reinforcement building model, wherein the reinforcement optimization setting is specifically to carry out reinforcement structure reinforcement optimization setting on the corresponding positions of the reinforcement building model.
According to the embodiment of the invention, the collision model detection is carried out on the reinforcement building model, and the reinforcement structure correction is carried out on the reinforcement building model according to the detection result to obtain the optimized reinforcement building model, which specifically comprises the following steps:
obtaining the internal position information of the model;
guiding the internal position information of the model and the reinforcement building model into an internal collision model for reinforcement collision simulation analysis to obtain the position information of the conflict point;
and carrying out reinforcement position optimization setting on the reinforcement building model according to the conflict point position information to obtain a reinforcement building model after secondary optimization.
It should be noted that the performing reinforcement conflict simulation analysis specifically analyzes the conflict situation between the reinforcement structure in the reinforcement building model and the internal physical structures of other buildings.
According to the embodiment of the invention, the collision model detection of the reinforcement building model is performed, and the reinforcement structure correction of the reinforcement building model is performed according to the detection result to obtain the optimized reinforcement building model, further comprising:
sectioning the reinforcement building model according to the model structure to obtain reinforcement image data;
carrying out reinforcement attribute marking on the reinforcement image data and generating reinforcement drawing data;
analyzing and counting reinforcement quantity of the reinforcement building model to generate reinforcement project quantity data;
and sending the reinforcement drawing data and the reinforcement engineering scale data to preset terminal equipment for displaying.
It should be noted that the reinforcement attribute label includes attributes such as specification type, length, and spacing of the reinforcement. The data of the reinforcement engineering scale comprise the number, the schematic diagram, the specification, the length and the like of the reinforcement. The preset terminal equipment comprises mobile terminal equipment and computer terminal equipment.
The invention discloses a refined reinforcement method and system based on a BIM technology, which are characterized in that a structure internal force distribution diagram is obtained by obtaining a basic building model based on the BIM and carrying out stress analysis, reinforcement model building is carried out according to the structure internal force distribution diagram, a reinforcement building model with reinforcement information is further obtained, the reinforcement building model is subjected to corresponding collision simulation detection, an optimized reinforcement building model can be obtained, and the model fineness is improved. Compared with the traditional mode of manually calculating reinforcement information, the reinforcement design refinement method greatly improves the refinement degree of reinforcement design and the efficiency of overall reinforcement design, and further achieves refinement and digitization of reinforcement design.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. The above-described device embodiments are merely illustrative, for example, the division of the unit is only one logical function division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units; can be located in one place or distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, all the functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit may be implemented in the form of hardware, or in the form of hardware plus a software functional unit.
Those of ordinary skill in the art will understand that: all or part of the steps for realizing the method embodiments can be completed by hardware related to program instructions, the program can be stored in a computer readable storage medium, and the program executes the steps comprising the method embodiments when executed; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Alternatively, the integrated unit of the present invention may be stored in a computer-readable storage medium if it is implemented in the form of a software functional module and sold or used as a separate product. Based on such understanding, the technical solutions of the embodiments of the present invention or portions thereof contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, a ROM, a RAM, a magnetic or optical disk, or various other media capable of storing program code.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (7)
1. A refined reinforcement allocation method based on a BIM technology is characterized by comprising the following steps:
acquiring a basic building model based on BIM, and carrying out stress analysis on the basic building model to obtain a corresponding basic structure model;
performing structural internal force optimization analysis according to the basic structure model, and obtaining an analyzed structural internal force distribution diagram;
building a reinforcement distribution model according to the structural internal force distribution diagram to obtain a three-dimensional reinforcement model, and performing model fusion on the three-dimensional reinforcement model and the foundation structure model to obtain a reinforcement distribution building model;
carrying out collision model detection on the reinforcement building model, and carrying out reinforcement structure correction on the reinforcement building model according to a detection result to obtain an optimized reinforcement building model;
wherein, the structure internal force distribution diagram specifically is:
performing internal force analysis on the plurality of basic structure models to obtain a plurality of corresponding model internal force distribution maps;
according to the building model splitting information, carrying out distribution map merging on the plurality of model internal force distribution maps to obtain a structure internal force distribution map;
performing internal force density region analysis according to the structural internal force distribution diagram to obtain an internal force sparse region and an internal force dense region;
performing structure dense optimization on the internal force sparse area, and performing structure sparse adjustment on the internal force dense area to obtain an optimized structure internal force distribution diagram;
the optimized reinforcement building model is specifically as follows:
analyzing the external and internal structure positions according to the reinforcement building model to obtain model external position information and model internal position information;
randomly fetching points according to the external position information of the model to obtain external position test point data;
leading the external position test point data and the reinforcement building model into a physical collision model for carrying out reinforcement strength simulation test to obtain test point result data;
recording test points which do not accord with preset conditions according to test point result data, and acquiring a reinforcement building model position corresponding to the test points to obtain reinforcement position information to be corrected;
carrying out reinforcement optimization setting of corresponding positions according to the reinforcement position information to be corrected and obtaining an optimized reinforcement building model;
wherein, the obtaining of the optimized reinforcement building model further comprises:
obtaining the internal position information of the model;
guiding the internal position information of the model and the reinforcement building model into an internal collision model for reinforcement collision simulation analysis to obtain the position information of the conflict point;
and carrying out reinforcement position optimization setting on the reinforcement building model according to the conflict point position information to obtain a reinforcement building model after secondary optimization.
2. The refined reinforcement method based on the BIM technology as claimed in claim 1, wherein the obtaining of the basic building model based on the BIM, the stress analysis of the basic building model and the obtaining of the corresponding basic structure model are specifically:
analyzing the main stress points of the basic building model to obtain the position information of the main stress points;
splitting a structural model according to the position information of the stress point to obtain a plurality of basic structural models;
and analyzing the splitting position of the model structure according to the basic building model and the plurality of basic structure models to obtain the splitting information of the building model.
3. The refined reinforcement method based on the BIM technology, according to claim 1, is characterized in that the reinforcement model is built according to the structural internal force distribution diagram to obtain a three-dimensional reinforcement model, and the three-dimensional reinforcement model is model-fused with the foundation structure model to obtain a reinforcement building model, specifically:
generating reinforcement parameter information according to the structure internal force distribution diagram;
performing reinforcement specification analysis and three-dimensional scene construction according to the reinforcement parameter information to obtain a three-dimensional reinforcement model;
and carrying out spatial position fusion on the three-dimensional steel bar model and the foundation structure model to obtain the reinforced building model.
4. The refined reinforcement method based on the BIM technology as claimed in claim 1, wherein the collision model detection is performed on the reinforcement building model, and the reinforcement structure correction is performed on the reinforcement building model according to the detection result to obtain the optimized reinforcement building model, further comprising:
sectioning the reinforcement building model according to the model structure to obtain reinforcement image data;
carrying out reinforcement attribute labeling on the reinforcement image data and generating reinforcement drawing data;
analyzing and counting reinforcement quantity of the reinforcement building model to generate reinforcement project quantity data;
and sending the reinforcement drawing data and the reinforcement engineering scale data to preset terminal equipment for displaying.
5. A refined reinforcement system based on BIM technology is characterized by comprising: the device comprises a memory and a processor, wherein the memory comprises a refined reinforcement allocation method program based on a BIM technology, and the refined reinforcement allocation method program based on the BIM technology realizes the following steps when being executed by the processor:
acquiring a basic building model based on BIM, and carrying out stress analysis on the basic building model to obtain a corresponding basic structure model;
performing structural internal force optimization analysis according to the basic structure model, and obtaining an analyzed structural internal force distribution diagram;
building a reinforcement distribution model according to the structural internal force distribution diagram to obtain a three-dimensional reinforcement model, and performing model fusion on the three-dimensional reinforcement model and the foundation structure model to obtain a reinforcement distribution building model;
carrying out collision model detection on the reinforcement building model, and carrying out reinforcement structure correction on the reinforcement building model according to a detection result to obtain an optimized reinforcement building model;
wherein, the structure internal force distribution diagram specifically is:
carrying out internal force analysis on the plurality of basic structure models to obtain a plurality of corresponding model internal force distribution maps;
according to the building model splitting information, carrying out distribution map merging on the plurality of model internal force distribution maps to obtain a structure internal force distribution map;
performing internal force density region analysis according to the structural internal force distribution diagram to obtain an internal force sparse region and an internal force dense region;
performing structure dense optimization on the internal force sparse area, and performing structure sparse adjustment on the internal force dense area to obtain an optimized structure internal force distribution diagram;
the optimized reinforcement building model is specifically as follows:
analyzing the external and internal structure positions according to the reinforcement building model to obtain model external position information and model internal position information;
carrying out random point taking according to the external position information of the model to obtain external position test point data;
leading the external position test point data and the reinforcement building model into a physical collision model for carrying out reinforcement strength simulation test to obtain test point result data;
recording test points which do not accord with preset conditions according to test point result data, and acquiring a reinforcement building model position corresponding to the test points to obtain reinforcement position information to be corrected;
carrying out reinforcement optimization setting of corresponding positions according to the reinforcement position information to be corrected and obtaining an optimized reinforcement building model;
wherein, the obtaining of the optimized reinforcement building model further comprises:
obtaining the internal position information of the model;
guiding the model internal position information and the reinforcement building model into an internal collision model for reinforcement collision simulation analysis to obtain conflict point position information;
and carrying out reinforcement position optimization setting on the reinforcement building model according to the conflict point position information to obtain a reinforcement building model after secondary optimization.
6. The refined reinforcement system based on the BIM technology as claimed in claim 5, wherein the obtaining of the basic building model based on the BIM, the stress analysis of the basic building model and the obtaining of the corresponding basic structure model are specifically:
analyzing the main stress points of the basic building model to obtain the position information of the main stress points;
according to the stress point position information, carrying out structural model splitting to obtain a plurality of basic structural models;
and analyzing the splitting position of the model structure according to the basic building model and the plurality of basic structure models to obtain the splitting information of the building model.
7. A refined reinforcement system based on the BIM technology as claimed in claim 5, wherein the reinforcement model is built according to the structural internal force distribution map to obtain a three-dimensional reinforcement model, and the three-dimensional reinforcement model is model fused with the foundation structure model to obtain a reinforcement building model, specifically:
generating reinforcement parameter information according to the structural internal force distribution diagram;
carrying out reinforcement specification analysis and three-dimensional scene construction according to reinforcement parameter information to obtain a three-dimensional reinforcement model;
and carrying out spatial position fusion on the three-dimensional steel bar model and the foundation structure model to obtain the reinforced building model.
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