BIM-based pile foundation scheme intelligent comparison and selection and soil layer distribution aided design system and method

Abstract

The invention relates to the technical field of constructional engineering, in particular to a BIM-based pile foundation scheme intelligent comparison and selection and soil layer distribution aided design system and method.The method comprises the steps that S1, BIM model construction and data extraction are conducted, specifically, BIM model construction and data extraction are conducted; s2, a pile foundation scheme rapid comparison and selection algorithm which comprises algorithm design and algorithm processes; s3, three-dimensional soil layer distribution aided design, including soil layer information input, data processing refinement, three-dimensional model generation refinement and BIM and soil layer model fusion refinement; and S4, intelligent optimization and decision support, including intelligent optimization algorithm development and decision support system construction. According to the method, automation and intelligence of pile foundation design are achieved through the three-dimensional modeling capacity and the data processing capacity of the BIM technology, and the design efficiency is improved; meanwhile, through the three-dimensional soil layer distribution aided design function, soil layer distribution is visually displayed, and the design accuracy and scientificity are improved. The method is characterized in that an advanced distributed file system is adopted to store and process BIM data, rapid comparison, selection and optimization of the pile foundation scheme are achieved through an intelligent algorithm, decision support is provided for designers, the design cost is reduced, and the overall benefit of a project is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of construction engineering, and in particular to a BIM-based pile foundation scheme intelligent comparison and selection and soil layer distribution auxiliary design system and method. Background Art

[0002] The current market competition in the construction industry is becoming increasingly fierce. In the process of pile foundation design, designers must not only ensure structural safety and compliance, but also pursue cost optimization. As an important load-bearing part of a building, the cost of the pile foundation accounts for a high proportion of the total project cost. However, the traditional pile foundation design process is cumbersome, inefficient, and difficult to respond quickly to market demand. Specifically, traditional pile foundation design relies on the designer's experience and manual calculations, and cannot quickly generate multiple design schemes and conduct effective comparisons. In addition, soil layer distribution is crucial to pile foundation design, but existing methods mostly rely on manual input of geological survey data, which is not only prone to errors, but also difficult to intuitively display the three-dimensional distribution of soil layers, posing challenges to the accuracy and scientificity of pile foundation design.

[0003] Disadvantages of existing technology: (1) Low design efficiency: The traditional design process is time-consuming. Designers need to manually calculate and compare multiple options, which makes it impossible to respond quickly to market changes.

[0004] (2) Data input is prone to errors: Manual input of soil layer distribution data is prone to errors, affecting design accuracy.

[0005] (3) Lack of intuitive display: The three-dimensional distribution of soil layers cannot be intuitively displayed, which increases the difficulty for designers to understand and analyze.

[0006] (4) High cost: The overall cost of the project increases due to the complexity and error-prone design process.

[0007] The information disclosed in this background technology section is only intended to deepen the understanding of the overall background technology of the present invention, and should not be regarded as acknowledging or suggesting in any form that the information constitutes the prior art already known to those skilled in the art. Summary of the invention

[0008] The purpose of the present invention is to provide a BIM-based pile foundation scheme intelligent comparison and selection and soil layer distribution auxiliary design system and method to solve the technical problems existing in the prior art.

[0009] In order to achieve the above object, the present invention adopts the following technical solutions: In a first aspect, a BIM-based pile foundation scheme intelligent comparison and selection and soil layer distribution auxiliary design method comprises the following steps: S1, BIM model construction and data extraction, including BIM model construction and data extraction; S2, pile foundation scheme rapid comparison algorithm, including algorithm design and algorithm flow; S3, 3D soil layer distribution auxiliary design, including soil layer information input, data processing refinement, 3D model generation refinement, and fusion of BIM model and soil layer model refinement; S4. Intelligent optimization and decision support, including intelligent optimization algorithm development and decision support system construction.

[0010] Preferably, the BIM model construction includes the following steps: S111, software selection and environment configuration; S112, digitization of design drawings; S113, 3D model creation; S114. Model verification and optimization.

[0011] Preferably, the data extraction comprises the following steps: S121, plug-in / interface initialization; S122, model traversal and screening; S123, data extraction and organization.

[0012] Preferably, the algorithm design comprises the following steps: S211, data input and processing; S212, preliminary calculation; S213, bearing capacity review; S214. Cost calculation and comparison.

[0013] Preferably, the algorithm process includes the following steps: S221, preliminary calculation; S222, Bearing capacity review; S223, cost calculation and comparison; S224, optimization and adjustment.

[0014] Preferably, the soil layer information input includes the following steps: S311, interface input; S312, data verification; S313, data storage; Preferably, the refinement of the data processing comprises the following steps: S321, data cleaning; S322, data deduplication; S323, format conversion; S324, data integration; Preferably, the refinement of the three-dimensional model generation comprises the following steps: S331, modeling parameter setting; S332, 3D geometry construction; S333, attribute assignment; S333, model optimization; Preferably, the refinement of the fusion of the BIM model and the soil layer model comprises the following steps: S341, coordinate conversion; S342, spatial position adjustment; S343, model fusion; S344, data synchronization.

[0015] Preferably, the intelligent optimization algorithm development comprises the following steps: S411, algorithm selection; S412, algorithm parameter setting; S413, fitness function design; S414, algorithm implementation; S415, Algorithm testing and verification.

[0016] Preferably, the decision support system construction includes the following steps: S421, knowledge base construction; S422, Reasoning mechanism design; S423, decision interface development; S424, human-computer interaction optimization; S425, system integration and testing.

[0017] In the second aspect, the present invention provides a BIM-based intelligent comparison and selection of pile foundation schemes and soil layer distribution auxiliary design system, which adopts the BIM-based intelligent comparison and selection of pile foundation schemes and soil layer distribution auxiliary design method. The system includes: a BIM model construction and data extraction module, a pile foundation scheme rapid comparison and selection algorithm module, a three-dimensional soil layer distribution auxiliary design module, and an intelligent optimization and decision support module; a BIM model construction and data extraction module for executing BIM model construction and data extraction; a pile foundation scheme rapid comparison and selection algorithm module for executing algorithm design and algorithm flow; a three-dimensional soil layer distribution auxiliary design module for executing soil layer information input, data processing refinement, three-dimensional model generation refinement, and BIM model and soil layer model fusion refinement; an intelligent optimization and decision support module for executing intelligent optimization algorithm development and decision support system construction.

[0018] By adopting the above technical solution, the present invention has the following beneficial effects: 1. Technical Effect 1) Realize automation and intelligence of the design process The present invention realizes the automation and intelligence of pile foundation design through the construction and data extraction of BIM model, combined with the rapid comparison algorithm of pile foundation scheme and the auxiliary design function of three-dimensional soil layer distribution. Designers only need to input relevant parameters, and the system can automatically complete the generation, comparison and optimization of pile foundation scheme, which significantly improves the design efficiency.

[0019] 2) Improve design accuracy Based on the 3D visualization technology of BIM model and 3D modeling of soil layer distribution, designers can directly view the detailed information of building structure and soil layer distribution, and carry out more accurate and scientific pile foundation design. This intuitive display method reduces design errors caused by information asymmetry or misunderstanding, and improves the accuracy and reliability of design.

[0020] 3) Optimize design solutions By integrating intelligent optimization algorithms, the present invention can automatically search and optimize pile foundation design solutions to find the solution that meets the design requirements and has the lowest cost. This not only reduces manual intervention and subjective judgment in the design process, but also improves the optimization and economy of the design solution.

[0021] 2. Economic Effect 1) Reduce design costs The intelligent comparison and optimization function of the present invention can quickly screen out the best pile foundation solution, reduce unnecessary design attempts and iterations, and thus reduce design costs. At the same time, the optimized solution is usually more economical and feasible, which helps to further reduce the cost of the entire project.

[0022] 2) Increase project benefits Through precise pile foundation design and optimization, the present invention helps to improve the stability and safety of building structures and reduce the cost of later maintenance and renovation. This not only brings greater economic benefits to the owners, but also enhances the overall competitiveness and market value of the project.

[0023] 3) Promote technological innovation The research and development and application of this invention have promoted technological innovation and development in the field of construction engineering. By integrating advanced technical means such as BIM technology and intelligent optimization algorithms, it provides a new solution and idea for pile foundation design, promoting the progress and development of the entire industry.

[0024] 3. Social Effects 1) Promote sustainable development of the industry The application of the present invention helps to reduce construction waste and resource waste, and improve the energy efficiency and environmental performance of building structures. This meets the current social requirements for sustainable development and green buildings, and helps to promote the green transformation and sustainable development of the construction industry.

[0025] 2) Improve project quality and safety Through precise pile foundation design and optimization, the present invention helps to improve the stability and safety of building structures, which not only protects the lives and property of the people, but also enhances the trust and recognition of the society in the quality of construction projects.

[0026] 3) Promote technological innovation and talent cultivation: The research and development and application of the present invention require high-quality technical talents and innovative teams. Through the implementation and promotion of the project, it will help to cultivate more technical innovation talents and improve the overall quality and ability level of industry practitioners. At the same time, the application of the present invention also promotes technical exchanges and cooperation within the industry and promotes the common development of the entire industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0028] Figure 1 An overall implementation flow chart of the BIM-based pile foundation scheme intelligent comparison and selection and soil layer distribution auxiliary design method provided in an embodiment of the present invention; Figure 2 A flowchart of BIM model construction and data extraction provided by an embodiment of the present invention; Figure 3 A quick comparison and selection algorithm design and algorithm flow chart for pile foundation schemes provided in an embodiment of the present invention; Figure 4 A flowchart of the auxiliary design of three-dimensional soil layer distribution provided by an embodiment of the present invention; Figure 5 A flowchart of intelligent optimization and decision support provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0029] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. 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.

[0030] The specific implementation of the present invention is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described here is only used to illustrate and explain the present invention, and is not used to limit the present invention. Example

[0031] Combination Figures 1 to 5 As shown, this embodiment 1 provides a BIM-based pile foundation scheme intelligent comparison and selection and soil layer distribution auxiliary design method, which includes the following steps: S1, BIM model construction and data extraction; In the BIM-based intelligent comparison and selection of pile foundation schemes and soil layer distribution auxiliary design system, the construction of BIM models and data extraction are the cornerstones of the entire system. This process not only determines the accuracy and efficiency of subsequent analysis, but also directly affects the scientificity and rationality of the pile foundation design scheme.

[0032] S11. BIM model construction 1) Software selection and environment configuration First, select appropriate BIM software according to project requirements, such as Autodesk Revit, Graphisoft ArchiCAD, etc. These software not only have powerful 3D modeling capabilities, but also provide a wealth of data integration interfaces to facilitate subsequent data extraction and processing. Then, configure software parameters according to the specific needs of the project, including unit settings, coordinate system definitions, etc., to ensure the consistency and accuracy of model construction.

[0033] 2) Digitalization of design drawings The architectural design drawings (including floor plans, elevations, sections, etc.) are digitized and converted into formats recognizable by BIM software, such as .rvt, .ifc, etc. This process is usually completed with the help of professional drawing scanning and vectorization software to ensure the integrity and accuracy of the drawing information. The digitized drawings will serve as the basic data for the construction of the BIM model.

[0034] 3) 3D model creation In BIM software, the three-dimensional model of the building is gradually created based on the digitized design drawings. This process includes defining the geometric shapes and sizes of building components such as walls, floors, beams and columns, and assigning them corresponding material properties, load conditions, etc. At the same time, combined with the geological survey report, soil layer information (such as soil layer thickness, type, physical and mechanical parameters, etc.) is integrated into the model. Through precise modeling, it is ensured that the BIM model can truly reflect the actual structure and geological conditions of the building.

[0035] 4) Model verification and optimization After completing the preliminary modeling, the model needs to be checked and optimized. The checking process mainly checks whether the geometric and physical relationships between the components are correct, and whether there are omissions or errors. For parts that do not meet the design requirements, timely modification and optimization are carried out to ensure the accuracy and reliability of the model. The optimization process includes adjusting the model structure, optimizing the use of materials, etc., to improve the economy and practicality of the model.

[0036] S12. Data Extraction 1) Plugin / interface initialization Start the BIM software and load a dedicated data extraction plug-in or interface. Ensure that the plug-in or interface can interact with the BIM model normally and can identify and extract specific information from the model. These plug-ins or interfaces are usually developed based on the API (application programming interface) of the BIM software and are highly flexible and scalable.

[0037] 2) Model traversal and screening The plug-in or interface will traverse all elements in the BIM model and filter out elements related to pile foundation design according to preset rules. These elements mainly include the bottom structural columns and parts related to geological survey data. For structural columns, special attention is paid to their internal force data (such as axial force, bending moment, etc.) under "constant + active" working conditions; for geological survey data, attention is paid to information such as the thickness, type, and physical and mechanical parameters of the soil layer. Through precise screening, it is ensured that the extracted data can meet the needs of pile foundation design.

[0038] 3) Data extraction and organization For the selected elements, the plug-in or interface will extract their attribute information and organize the information. The extracted data includes the internal force data of the structural column, the geometric information of the soil layer and the physical and mechanical parameters. In order to facilitate subsequent processing and analysis, these data will be organized into structured data sets and stored in the corresponding database. The selection of the database should take into account factors such as data storage capacity, query efficiency and security.

[0039] S2, quick comparison and selection algorithm for pile foundation schemes; S21. Algorithm Development The development of the algorithm mainly includes the following steps: 1) Requirements analysis: First, we need to clarify the functional requirements and performance indicators of the algorithm. Clarify the functional requirements and performance indicators of the algorithm. In this invention, the algorithm needs to be able to receive the single pile bearing capacity parameters and the data extracted from the BIM model, and automatically calculate the cost and performance indicators of multiple pile foundation solutions. These performance indicators include but are not limited to bearing capacity, stability, construction difficulty and cost.

[0040] 2) Algorithm Design According to the results of demand analysis, the overall framework and specific implementation steps of the algorithm are designed. In this invention, we adopt a hybrid algorithm based on the principles of structural mechanics and economics. The algorithm design includes the following aspects: (1) Data input and processing: Define the format and type of algorithm input data, including single pile bearing capacity parameters, column bottom axial force data extracted from the BIM model, soil layer information, etc. At the same time, design a data processing module to clean, verify and pre-process the data to ensure the accuracy and availability of the input data.

[0041] (2) Preliminary calculation: The design algorithm preliminarily calculates the required number of piles. In this step, the algorithm will preliminarily calculate the required number of piles based on the input single pile bearing capacity parameters and the column base axial force data extracted from the BIM model, combined with the basic principles of pile foundation design and regulatory requirements, and simulate the arrangement of the cap. At the same time, factors such as the arrangement of piles (such as pile group effect) and the size and shape of the cap are considered to ensure the rationality and accuracy of the preliminary calculation.

[0042] (3) Bearing capacity review: The design algorithm is used to review the bearing capacity. The weight of the foundation and the covering soil is calculated by the cap, and the number of piles is readjusted to meet the bearing capacity requirements in combination with the column bottom axial force under the "permanent + active" working condition. In this step, the algorithm will perform multiple iterative calculations until a solution that meets the bearing capacity requirements and has the least number of piles is found. At the same time, factors such as the interaction between piles and soil and the influence of soil properties on bearing capacity are considered to ensure the accuracy and reliability of the review results.

[0043] (4) Cost calculation and comparison: The design algorithm calculates the cost of pile foundation and cap. Based on the results of preliminary calculation and bearing capacity review, the cost of pile foundation and cap for each pile foundation scheme is automatically calculated, and other related costs (such as construction costs, material costs, etc.) are taken into account. A basic total cost report for multiple pile foundation schemes is generated to facilitate quick comparison by designers.

[0044] 3) Programming implementation: According to the results of algorithm design, choose Python or C++ for programming implementation. In the programming process, pay attention to the robustness, readability and maintainability of the code. Adopt modular design ideas and divide the algorithm into multiple independent modules for development and testing to improve the reusability and scalability of the code.

[0045] 4) Test verification: Test and verify the algorithm to ensure its correctness and reliability. Use known test data and scenarios to test the algorithm and compare whether the algorithm's output is consistent with the expected results. At the same time, perform performance tests and stress tests to evaluate the algorithm's performance under different loads and conditions. Repair and optimize any problems and deficiencies found in a timely manner.

[0046] S22. Algorithm Flow The specific process of the algorithm is as follows: 1) Preliminary calculation: In the preliminary calculation stage, the algorithm first calculates the number of piles required based on the input single pile bearing capacity parameters and the column base axial force data extracted from the BIM model using the principles of structural mechanics. At the same time, the arrangement of the piles (such as rectangular arrangement, plum blossom arrangement, etc.) and the size and shape of the cap are considered to simulate the cap arrangement. The size and shape of the cap are preliminarily determined by calculating the bearing area and distributed pressure of the cap.

[0047] 2) Bearing capacity review: In the bearing capacity review stage, the algorithm first calculates the weight of the cap and the soil covering it, and then performs bearing capacity verification in combination with the column bottom axial force under the "constant + active" working condition. If the number of piles obtained by the initial calculation does not meet the bearing capacity requirements, the algorithm will perform iterative calculations. In each iteration, the number of piles is adjusted (increased or decreased) according to the current bearing capacity and the bearing area and distributed pressure of the cap are recalculated. Through multiple iterative calculations, a solution that meets the bearing capacity requirements and has the least number of piles is found.

[0048] 3) Cost calculation and comparison: In the cost calculation and comparison stage, the algorithm calculates the cost of each pile foundation scheme based on the results of preliminary calculation and bearing capacity review. The cost calculation includes multiple aspects such as pile foundation material cost, base material cost, construction cost, etc. At the same time, other related costs (such as taxes, management fees, etc.) are considered to generate a total cost report. Designers can quickly compare the cost and performance indicators in the report to find the optimal design solution.

[0049] 4) Optimization and adjustment: In addition to the basic algorithm flow, optimization and adjustment steps can also be added. For example, intelligent optimization algorithms (such as genetic algorithms, particle swarm algorithms, etc.) can be used to further optimize and adjust the pile foundation scheme to improve the economy and practicality of the scheme. At the same time, the algorithm can be dynamically adjusted and improved according to the designer's feedback and actual needs to adapt to different design scenarios and needs.

[0050] S3, 3D soil layer distribution auxiliary design; S31. Soil layer information input 1) Interface design When designing the soil layer information input interface, it is necessary to consider the user's usage habits and convenience. The interface should provide an intuitive data input area and verification function to ensure the accuracy and completeness of the input data. The import function that supports common data formats such as CSV and Excel makes it convenient for designers to import soil layer information from geological survey reports.

[0051] 2) Data verification After importing soil layer information, the system should automatically perform data verification to ensure the accuracy and rationality of the data. The verification content includes the detection of repeated layer bottom elevations, the correction of soil layer number identification errors, the processing of coordinate data identification difficulties, etc. Through data cleaning, deduplication and format conversion, the accuracy of soil layer information is ensured to provide reliable data support for subsequent 3D modeling.

[0052] 3) Data storage The verified and processed soil layer information will be stored in the system database for subsequent data processing and 3D modeling. The database design should take into account the security, maintainability and query efficiency of the data to ensure that the soil layer information can be quickly and accurately called by the system.

[0053] S32. Refinement of data processing In the data processing stage, the system will further process and convert the input soil layer information to meet the needs of 3D modeling. The specific steps include: 1) Data cleaning: Delete or modify erroneous, incomplete or redundant data, such as deleting duplicate soil layer records, correcting incorrect soil layer thickness or type, etc.

[0054] 2) Data deduplication: For possible duplicate soil layer records, merge or delete the duplicate records by comparing key fields such as soil layer number, layer bottom elevation, coordinates, etc.

[0055] 3) Format conversion: Convert soil layer information from the original format (such as CSV, Excel, etc.) to the data format used within the system, such as JSON or database table format, to facilitate subsequent data processing and 3D modeling.

[0056] 4) Data integration: Integrate the soil layer information after cleaning, deduplication and format conversion into a complete data set to provide a unified data source for subsequent 3D modeling.

[0057] S33. Refinement of 3D model generation In the 3D model generation stage, the system will generate a 3D model of the soil layer based on the processed soil layer information using 3D modeling technology. The specific steps include: 1) Modeling parameter setting: According to the thickness, type, physical and mechanical parameters of the soil layer, set the relevant parameters of 3D modeling, such as color, transparency, texture, etc., to present the realism and three-dimensional sense of the soil layer.

[0058] 2) 3D geometry construction: Use 3D modeling software or algorithms to construct the 3D geometry of the soil layer based on its geometric information (such as layer bottom elevation, layer thickness, etc.). This step requires precise calculation of the geometric boundaries and positional relationships of each soil layer to ensure the accuracy of the 3D model.

[0059] 3) Attribute assignment: Assign the physical and mechanical parameters of the soil layer (such as compression modulus, internal friction angle, etc.) to the three-dimensional model so that these parameters can be used in subsequent analysis and design.

[0060] 4) Model optimization: Optimize the generated 3D model, such as smoothing and removing unnecessary details, to improve the rendering efficiency and visual effect of the model.

[0061] S34. Refinement of the integration of BIM model and soil layer model During the fusion stage of BIM model and soil model, the system will accurately embed the three-dimensional soil model into the BIM model through technical means such as coordinate alignment and spatial position matching.

[0062] The specific steps include: 1) Coordinate conversion: Convert and match the coordinate system of the soil model with the coordinate system of the BIM model to ensure the consistency of their spatial positions.

[0063] 2) Spatial position adjustment: Adjust the position and angle of the soil layer model to match the building structure in the BIM model. This process may require the use of spatial transformation operations such as rotation and translation.

[0064] 3) Model fusion: The adjusted soil layer model is integrated with the BIM model to form a comprehensive building information model containing soil layer information. During the fusion process, attention should be paid to the occlusion relationship, light and shadow effects, etc. between the models to ensure that the fused model is more realistic and coordinated visually.

[0065] 4) Data synchronization: Ensure that the data between the BIM model and the soil model are updated synchronously. When the building structure in the BIM model changes, the soil model should be able to be adjusted and updated accordingly to maintain data consistency between the two.

[0066] S4. Intelligent optimization and decision support, including intelligent optimization algorithm development and decision support system construction.

[0067] S41. Intelligent optimization algorithm development In the intelligent optimization algorithm development stage, the system will integrate the pile foundation design optimization module based on intelligent optimization algorithms such as genetic algorithm and particle swarm algorithm. The specific development steps include: 1) Algorithm selection: Select a suitable intelligent optimization algorithm based on the specific requirements and constraints of pile foundation design. Genetic algorithms are suitable for dealing with complex combinatorial optimization problems; particle swarm algorithms are suitable for dealing with optimization problems in continuous space.

[0068] 2) Algorithm parameter setting: Set the relevant parameters of the intelligent optimization algorithm, such as population size, number of iterations, crossover probability, mutation probability, etc. The setting of these parameters will directly affect the performance of the algorithm and the quality of the optimization results.

[0069] 3) Fitness function design: Design a fitness function to evaluate the advantages and disadvantages of the pile foundation design scheme. The fitness function should be constructed according to the design requirements and constraints to reflect the performance of the scheme in terms of economy, safety and feasibility.

[0070] 4) Algorithm implementation: Use programming languages ​​(such as Python, C++, etc.) to implement intelligent optimization algorithms. Pay attention to the robustness, readability, and maintainability of the code during the programming process, and use technical means such as parallel computing to improve the operating efficiency of the algorithm.

[0071] 5) Algorithm testing and verification: Use known test data and scenarios to test and verify the algorithm, evaluate the performance and reliability of the algorithm, and promptly repair and optimize any problems and deficiencies found.

[0072] S42. Construction of decision support system During the decision support system construction phase, the system will provide decision support for designers based on the knowledge base and reasoning mechanism. The specific construction steps include: 1) Knowledge base construction: Build a knowledge base in the field of pile foundation design, including design principles, specification requirements, empirical formulas, typical cases, etc. The construction of the knowledge base should cover a wide range of design knowledge and experience in order to provide comprehensive decision-making support for designers.

[0073] 2) Reasoning mechanism design: Design a reasoning mechanism based on the knowledge base to perform logical reasoning and decision analysis based on design requirements and constraints, as well as the output results of the intelligent optimization algorithm. The reasoning mechanism should be able to comprehensively consider multiple factors, such as economy, safety, construction conditions, etc., to provide designers with scientific and reasonable decision-making suggestions.

[0074] 3) Decision interface development: Develop a user-friendly decision support interface that enables designers to easily input design requirements and constraints and view the output results and decision recommendations of the intelligent optimization algorithm. The interface should provide intuitive data display and chart analysis functions to help designers better understand design solutions and decision recommendations.

[0075] 4) Human-computer interaction optimization: Optimize the human-computer interaction experience so that designers can interact and communicate effectively with the system. The system should be able to dynamically adjust the interface layout and function settings based on the designer’s feedback and operating habits, and provide more personalized decision support services.

[0076] 5) System integration and testing: Integrate the intelligent optimization algorithm and decision support system with other functional modules (such as BIM model construction and data extraction, pile foundation scheme rapid comparison algorithm, three-dimensional soil layer distribution auxiliary design, etc.), and conduct overall testing and verification. During the test, attention should be paid to indicators such as system stability, compatibility and response speed to ensure that the system can operate normally and meet the design requirements.

[0077] By adopting the above technical solution, the present invention has the following beneficial effects: 1. Technical Effect 1) Realize automation and intelligence of the design process The present invention realizes the automation and intelligence of pile foundation design through the construction and data extraction of BIM model, combined with the rapid comparison algorithm of pile foundation scheme and the auxiliary design function of three-dimensional soil layer distribution. Designers only need to input relevant parameters, and the system can automatically complete the generation, comparison and optimization of pile foundation scheme, which significantly improves the design efficiency.

[0078] 2) Improve design accuracy Based on the 3D visualization technology of BIM model and 3D modeling of soil layer distribution, designers can directly view the detailed information of building structure and soil layer distribution, and carry out more accurate and scientific pile foundation design. This intuitive display method reduces design errors caused by information asymmetry or misunderstanding, and improves the accuracy and reliability of design.

[0079] 3) Optimize design solutions By integrating intelligent optimization algorithms, the present invention can automatically search and optimize pile foundation design solutions to find the solution that meets the design requirements and has the lowest cost. This not only reduces manual intervention and subjective judgment in the design process, but also improves the optimization and economy of the design solution.

[0080] 2. Economic Effect 1) Reduce design costs The intelligent comparison and optimization function of the present invention can quickly screen out the best pile foundation solution, reduce unnecessary design attempts and iterations, and thus reduce design costs. At the same time, the optimized solution is usually more economical and feasible, which helps to further reduce the cost of the entire project.

[0081] 2) Increase project benefits Through precise pile foundation design and optimization, the present invention helps to improve the stability and safety of building structures and reduce the cost of later maintenance and renovation. This not only brings greater economic benefits to the owners, but also enhances the overall competitiveness and market value of the project.

[0082] 3) Promote technological innovation The research and development and application of this invention have promoted technological innovation and development in the field of construction engineering. By integrating advanced technical means such as BIM technology and intelligent optimization algorithms, it provides a new solution and idea for pile foundation design, promoting the progress and development of the entire industry.

[0083] 3. Social Effects 1) Promote sustainable development of the industry The application of the present invention helps to reduce construction waste and resource waste, and improve the energy efficiency and environmental performance of building structures. This meets the current social requirements for sustainable development and green buildings, and helps to promote the green transformation and sustainable development of the construction industry.

[0084] 2) Improve project quality and safety Through precise pile foundation design and optimization, the present invention helps to improve the stability and safety of building structures, which not only protects the lives and property of the people, but also enhances the trust and recognition of the society in the quality of construction projects.

[0085] 3) Promote technological innovation and talent cultivation: The research and development and application of the present invention require high-quality technical talents and innovative teams. Through the implementation and promotion of the project, it will help to cultivate more technical innovation talents and improve the overall quality and ability level of industry practitioners. At the same time, the application of the present invention also promotes technical exchanges and cooperation within the industry and promotes the common development of the entire industry. Example

[0086] This embodiment provides a BIM-based intelligent comparison and selection of pile foundation schemes and soil layer distribution auxiliary design system, which adopts the BIM-based intelligent comparison and selection of pile foundation schemes and soil layer distribution auxiliary design method. The system includes: a BIM model construction and data extraction module, a pile foundation scheme rapid comparison and selection algorithm module, a three-dimensional soil layer distribution auxiliary design module, and an intelligent optimization and decision support module; a BIM model construction and data extraction module, which is used to perform BIM model construction and data extraction; a pile foundation scheme rapid comparison and selection algorithm module, which is used to perform algorithm design and algorithm flow; a three-dimensional soil layer distribution auxiliary design module, which is used to perform soil layer information input, data processing refinement, three-dimensional model generation refinement, and BIM model and soil layer model fusion refinement; an intelligent optimization and decision support module, which is used to perform intelligent optimization algorithm development and decision support system construction.

[0087] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A BIM-based pile foundation scheme intelligent comparison and selection and soil layer distribution auxiliary design method, characterized in that: The steps include: S1, BIM model construction and data extraction, including BIM model construction and data extraction; S2, pile foundation scheme rapid comparison algorithm, including algorithm design and algorithm flow; S3, 3D soil layer distribution auxiliary design, including soil layer information input, data processing refinement, 3D model generation refinement, and fusion of BIM model and soil layer model refinement; S4. Intelligent optimization and decision support, including intelligent optimization algorithm development and decision support system construction.

2. The BIM-based pile foundation scheme intelligent comparison and soil layer distribution auxiliary design method according to claim 1 is characterized in that: The BIM model construction includes the following steps: S111, software selection and environment configuration; S112, digitization of design drawings; S113, 3D model creation; S114. Model verification and optimization.

3. The BIM-based pile foundation scheme intelligent comparison and soil layer distribution auxiliary design method according to claim 1 is characterized in that: The data extraction comprises the following steps: S121, plug-in / interface initialization; S122, model traversal and screening; S123, data extraction and organization.

4. The BIM-based pile foundation scheme intelligent comparison and soil layer distribution auxiliary design method according to claim 1 is characterized in that: The algorithm design includes the following steps: S211, data input and processing; S212, preliminary calculation; S213, bearing capacity review; S214. Cost calculation and comparison.

5. The BIM-based pile foundation scheme intelligent comparison and soil layer distribution auxiliary design method according to claim 1 is characterized in that: The algorithm flow includes the following steps: S221, preliminary calculation; S222, Bearing capacity review; S223, cost calculation and comparison; S224, optimization and adjustment.

6. The BIM-based pile foundation scheme intelligent comparison and soil layer distribution auxiliary design method according to claim 1 is characterized in that: The three-dimensional soil layer distribution auxiliary design comprises the following steps: The soil layer information input comprises the following steps: S311, interface input; S312, data verification; S313, data storage; The refinement of the data processing comprises the following steps: S321, data cleaning; S322, data deduplication; S323, format conversion; S324, data integration; The refinement of the three-dimensional model generation comprises the following steps: S331, modeling parameter setting; S332, 3D geometry construction; S333, attribute assignment; S333, model optimization; The refinement of the fusion of the BIM model and the soil layer model includes the following steps: S341, coordinate conversion; S342, spatial position adjustment; S343, model fusion; S344, data synchronization.

7. The BIM-based pile foundation scheme intelligent comparison and selection and soil layer distribution auxiliary design method according to claim 1 is characterized in that: The intelligent optimization algorithm development includes the following steps: S411, algorithm selection; S412, algorithm parameter setting; S413, fitness function design; S414, algorithm implementation; S415, Algorithm testing and verification: Use known test data and scenarios to test and verify the algorithm, evaluate the performance and reliability of the algorithm, and promptly repair and optimize any problems and deficiencies found.

8. The BIM-based pile foundation scheme intelligent comparison and selection and soil layer distribution auxiliary design method according to claim 1 is characterized in that: The decision support system construction includes the following steps: S421, knowledge base construction; S422, Reasoning mechanism design; S423, decision interface development; S424, human-computer interaction optimization; S425, system integration and testing.

9. A BIM-based intelligent comparison and selection system for pile foundation schemes and soil layer distribution auxiliary design, characterized in that: A BIM-based intelligent comparison and selection method for pile foundation schemes and soil layer distribution auxiliary design is adopted according to any one of claims 1 to 8.

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