An artificial intelligence-based building information model modeling management method and system
Patent Information
- Application Number
- CN202410887449.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-07-03
- Publication Date
- 2026-10-16
AI Technical Summary
[0045]本发明解决的背景技术中存在的技术缺陷，本发明具备以下有益效果：通过AI技术对目标建筑进行关键建筑参数提取，得到目标关键建筑参数，并结合目标关键建筑参数的参数规则，在AI辅助BIM建模系统中构建BIM参数化合格模型，最后将BIM参数化合格模型与目标建筑的施工状态参数进行集成关联，得到BIM参数化关联模型。本发明能够通过AI技术辅助BIM技术进行建筑建模处理。在建筑进行虚拟模型构建和虚拟模型设计优化的时候，提高了设计的灵活性，减少对模型进行手工调整和优化的时间，确保模型的准确性，同时优化资源利用，降低设计消耗的成本。
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Abstract
Description
Technical Field
[0001] This invention relates to the field of modeling management, and in particular to a building information modeling management method and system based on artificial intelligence. Background Technology
[0002] BIM parametric modeling technology is a method based on parametric design principles, using defined parameters and rules to create and control building models. Parametric modeling allows each element in the model to have adjustable parameters, and the relationships and rules between these parameters enable dynamic adjustment and optimization of the model. During the construction of a BIM parametric model, if the parameters of components in the model do not meet the conditions defined by the parameter rules, it may be impossible to achieve the goal of optimizing the architectural design through the model. Manually adjusting component parameters is too wasteful of human resources and is prone to low accuracy. Therefore, artificial intelligence (AI) can be introduced to adjust the BIM parametric model. AI can analyze architectural design requirements and specifications, automatically generate suitable parameters and rules, and perform parameter optimization and intelligent adjustments on the BIM parametric model to achieve the best design effect. Summary of the Invention
[0003] This invention overcomes the shortcomings of existing technologies and provides a building information modeling and management method and system based on artificial intelligence.
[0004] To achieve the above objectives, the technical solution adopted by the present invention is as follows:
[0005] The first aspect of this invention provides a building information modeling and management method based on artificial intelligence, comprising the following steps:
[0006] AI technology is used to extract key building parameters from the target building, and the extracted key building parameters are cleaned and converted in format to obtain the target key building parameters.
[0007] Determine the parameter rules for the target key building parameters, and construct a qualified BIM parametric model based on AI software and BIM modeling software, combined with the parameter rules for the target key building parameters.
[0008] By integrating and associating the qualified BIM parametric model with the construction status parameters of the target building, a BIM parametric association model is obtained.
[0009] Furthermore, in a preferred embodiment of the present invention, the step of using AI technology to extract key building parameters of the target building, and then cleaning and converting the extracted key building parameters to obtain the target key building parameters, specifically involves:
[0010] The building that needs to be designed is identified as the target building, and all parameter sources containing the building parameters of the target building are obtained and identified as the target parameter sources;
[0011] Acquire AI software, which integrates AI-assisted technologies, including AI parameter extraction technology, AI parameter preprocessing technology, AI modeling technology, AI model verification technology, and AI model optimization technology;
[0012] The target parameter source is imported into the AI software for storage, and the target parameter source is identified and extracted in the AI software using AI parameter extraction technology to obtain the key building parameters of the target building.
[0013] In the AI software, based on AI parameter preprocessing technology, the key building parameters of the target building are cleaned to remove duplicate and outlier values, thus obtaining the cleaned key building parameters of the target building.
[0014] The parameter format required for constructing the BIM parametric model is determined and calibrated as the target parameter format. Based on AI parameter preprocessing technology, the parameter format of the key building parameters of the target building after data cleaning is converted into the target parameter format. This yields the key building parameters of the target building that have undergone both parameter cleaning and parameter format conversion, and these are calibrated as the target key building parameters.
[0015] Furthermore, in a preferred embodiment of the present invention, the step of determining the parameter rules for the target key building parameters and constructing a qualified BIM parameterized model based on AI software and BIM modeling software, combined with the parameter rules for the target key building parameters, specifically involves:
[0016] Acquire historical data networks, and based on the historical data networks, retrieve the building design codes and building industry standards that need to be followed between the target key building parameters when constructing the target building, and label them as parameter rules for the target key building parameters;
[0017] The parameter rules for the target key building parameters include the spatial layout rules and building code rules that the target key building parameters need to comply with;
[0018] Based on the target key building parameters, determine the building type of the target building, and based on the building type of the target building, determine the types of building components that the target building needs to use, and mark them as the target building component types;
[0019] By introducing BIM modeling software and interacting it with AI software, an AI-assisted BIM modeling system is obtained.
[0020] In the AI-assisted BIM modeling system, the target building component type is input, and based on AI modeling technology, type analysis and parametric component construction are performed on the target building component type to obtain parametric components of the target building with a construction type equal to the target building component type, which are then labeled as target parametric components.
[0021] By combining the target parametric components, the parameter rules of the target key building parameters, and the target key building parameters, an initial BIM parametric model of the target building is constructed in the AI-assisted BIM modeling system. The initial BIM parametric model of the target building is then validated and optimized to obtain a qualified BIM parametric model.
[0022] Furthermore, in a preferred embodiment of the present invention, the step of constructing an initial BIM parametric model of the target building in the AI-assisted BIM modeling system, and performing model verification and optimization on the initial BIM parametric model of the target building to obtain a qualified BIM parametric model, specifically involves:
[0023] In the AI-assisted BIM modeling system, the target key building parameters are imported into the corresponding target parametric components for parameter configuration, resulting in target parametric components after parameter configuration based on the target key building parameters, which are then labeled as target parametric configuration components.
[0024] In the AI-assisted BIM modeling system, all target parametric configuration components are combined to obtain the initial BIM parametric model of the target building, wherein the initial BIM parametric model is a three-dimensional model.
[0025] In the AI-assisted BIM modeling system, a built-in initial verification script is obtained. Based on the parameter rules of the target key building parameters and AI model verification technology, the built-in initial verification script is updated to obtain a built-in parameter rule verification script.
[0026] Run the built-in parameter rule verification script to perform batch verification of parameter rules for target parameterized configuration components that have been combined in the initial BIM parameterized model. Target parameterized configuration components that do not conform to the parameter rules of the target key building parameters are marked as unqualified target parameterized configuration components, and target parameterized configuration components that conform to the parameter rules of the target key building parameters are marked as qualified target parameterized configuration components.
[0027] Determine whether the initial BIM parametric model contains unqualified target parametric configuration components;
[0028] If so, the initial BIM parametric model will be calibrated as a qualified BIM parametric model;
[0029] If not, then the genetic algorithm is obtained from the AI model optimization technology of the AI-assisted BIM modeling system, and the initial BIM parametric model is tuned based on the genetic algorithm to obtain a qualified BIM parametric model.
[0030] Furthermore, in a preferred embodiment of the present invention, the step of obtaining a genetic algorithm in the AI model optimization technology of the AI-assisted BIM modeling system, and optimizing the initial BIM parametric model based on the genetic algorithm to obtain a qualified BIM parametric model, specifically involves:
[0031] Obtain the real-time parameters of the unqualified target parameterized configuration components, wherein the real-time parameters of the unqualified target parameterized configuration components are the target key building parameters corresponding to the unqualified target parameterized configuration components;
[0032] Obtain the parameter rules of the target key building parameters corresponding to the unqualified target parameterized configuration components, label them as a type of parameter rules, and determine the component standard parameters of the unqualified target parameterized configuration components based on the type of parameter rules.
[0033] Based on the genetic algorithm, an objective function is defined, which is a function for iteratively adjusting and evaluating the fitness of unqualified target parameterized configuration components. Based on the objective function, the fitness of the real-time parameters of the unqualified target parameterized configuration components is iteratively adjusted, and the Euclidean distance between the real-time parameters of the unqualified target parameterized configuration components and the standard parameters of the components is calculated in real time during the fitness iterative adjustment process.
[0034] A preset standard Euclidean distance threshold is set. When the Euclidean distance between the real-time parameters of an unqualified target parametric configuration component and its standard parameters remains within the standard Euclidean distance threshold, the iterative adjustment of the fitness of the real-time parameters of the unqualified target parametric configuration component is stopped, so that there are no unqualified target parametric configuration components in the initial BIM parametric model, and a qualified BIM parametric model is obtained.
[0035] Furthermore, in a preferred embodiment of the present invention, the integration and association of the qualified BIM parametric model with the construction status parameters of the target building to obtain the BIM parametric association model specifically involves:
[0036] During the construction of the target building, the construction status parameters of the target building are obtained, including the construction progress parameters and construction resource parameters of the target building.
[0037] The construction status parameters of the target building are converted into time series and spatial series formats, and the converted construction status parameters are cleaned to obtain construction status time series parameters and construction status spatial series parameters.
[0038] In the BIM parametric qualified model, identifier matching is performed on different qualified target parametric configuration components so that all qualified target parametric configuration components have corresponding identifiers;
[0039] Obtain the relational database, which is the location where the BIM parametric qualified model is integrated, associated and stored with the construction state time series parameters and the construction state spatial series parameters, respectively.
[0040] In the relational database, based on the identifier of the qualified target parameterized configuration component, the BIM parameterized qualified model is associated with the construction state time series parameters in the time dimension, and at the same time, the BIM parameterized qualified model is associated with the construction state spatial series parameters in the spatial dimension, so as to obtain the BIM parameterized qualified model after the time dimension and spatial dimension association, which is labeled as the BIM parameterized associated model.
[0041] A second aspect of the present invention also provides a building information modeling management system based on artificial intelligence. The building information modeling management system includes a memory and a processor. The memory stores a building information modeling management method. When the building information modeling management method is executed by the processor, it performs the following steps:
[0042] AI technology is used to extract key building parameters from the target building, and the extracted key building parameters are cleaned and converted in format to obtain the target key building parameters.
[0043] Determine the parameter rules for the target key building parameters, and construct a qualified BIM parametric model based on AI software and BIM modeling software, combined with the parameter rules for the target key building parameters.
[0044] By integrating and associating the qualified BIM parametric model with the construction status parameters of the target building, a BIM parametric association model is obtained.
[0045] This invention addresses the technical deficiencies in the background technology and offers the following beneficial effects: It extracts key architectural parameters of a target building using AI technology, obtains these parameters, and, based on the parameter rules of these parameters, constructs a qualified BIM parametric model within an AI-assisted BIM modeling system. Finally, it integrates and correlates this qualified BIM parametric model with the construction status parameters of the target building to obtain a BIM parametric correlated model. This invention enables building modeling using AI-assisted BIM technology. During virtual model construction and virtual model design optimization, it improves design flexibility, reduces the time spent on manual model adjustments and optimizations, ensures model accuracy, optimizes resource utilization, and reduces design costs. Attached Figure Description
[0046] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other embodiments can be obtained from these drawings without creative effort.
[0047] Figure 1 A flowchart of a building information modeling and management method based on artificial intelligence is shown;
[0048] Figure 2 A flowchart illustrating the method for constructing a qualified BIM parametric model is shown.
[0049] Figure 3 A program view of a building information modeling management system based on artificial intelligence is shown. Detailed Implementation
[0050] To better understand the above-mentioned objectives, features, and advantages of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that, unless otherwise specified, the embodiments and features described in these embodiments can be combined with each other.
[0051] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and therefore the scope of protection of the invention is not limited to the specific embodiments disclosed below.
[0052] Figure 1 A flowchart illustrating an AI-based building information modeling and management method is shown, including the following steps:
[0053] S102: Use AI technology to extract key building parameters of the target building, and perform parameter cleaning and parameter format conversion on the extracted key building parameters to obtain the target key building parameters;
[0054] S104: Determine the parameter rules for the target key building parameters, and construct a qualified BIM parameterized model based on AI software and BIM modeling software, combined with the parameter rules for the target key building parameters.
[0055] S106: Integrate and associate the qualified BIM parametric model with the construction status parameters of the target building to obtain the BIM parametric associated model.
[0056] Furthermore, in a preferred embodiment of the present invention, the step of using AI technology to extract key building parameters of the target building, and then cleaning and converting the extracted key building parameters to obtain the target key building parameters, specifically involves:
[0057] The building that needs to be designed is identified as the target building, and all parameter sources containing the building parameters of the target building are obtained and identified as the target parameter sources;
[0058] Acquire AI software, which integrates AI-assisted technologies, including AI parameter extraction technology, AI parameter preprocessing technology, AI modeling technology, AI model verification technology, and AI model optimization technology;
[0059] The target parameter source is imported into the AI software for storage, and the target parameter source is identified and extracted in the AI software using AI parameter extraction technology to obtain the key building parameters of the target building.
[0060] In the AI software, based on AI parameter preprocessing technology, the key building parameters of the target building are cleaned to remove duplicate and outlier values, thus obtaining the cleaned key building parameters of the target building.
[0061] The parameter format required for constructing the BIM parametric model is determined and calibrated as the target parameter format. Based on AI parameter preprocessing technology, the parameter format of the key building parameters of the target building after data cleaning is converted into the target parameter format. This yields the key building parameters of the target building that have undergone both parameter cleaning and parameter format conversion, and these are calibrated as the target key building parameters.
[0062] It should be noted that before construction of the target building, basic architectural parameters can be obtained from the building's construction requirements, including the dimensions of components such as walls, beams, slabs, doors, and beds. These target parameters typically originate from the project list created during the planning phase. Since the components of the target building in the source of these parameters may not be fully reproducible in reality, a component model is needed to simulate the construction of the target building and to optimize the architectural design on this model. The constructed target building model needs to be built using BIM parametric modeling technology to obtain a BIM parametric model. In the BIM parametric model, different components can be adjusted to achieve the purpose of model design optimization. AI software integrates various AI technologies that can assist in the construction of BIM parametric models, with different AI technologies playing different roles. AI parameter extraction technology can extract key architectural parameters of the target building from the source of these parameters, including but not limited to the specifications and dimensions of major building components. After extracting the key architectural parameters of the target building, these parameters need to be used to construct the BIM parametric model. Because the format of the analyzed parameters must conform to the target format of BIM parametric modeling technology when constructing a BIM parametric model, the key building parameters of the target building undergo format conversion. After format conversion, AI parameter preprocessing technology is used to clean the key building parameters. This parameter cleaning includes removing duplicate values and imputing missing values for the key building parameters, ultimately yielding the target key building parameters.
[0063] Furthermore, in a preferred embodiment of the present invention, the integration and association of the qualified BIM parametric model with the construction status parameters of the target building to obtain the BIM parametric association model specifically involves:
[0064] During the construction of the target building, the construction status parameters of the target building are obtained, including the construction progress parameters and construction resource parameters of the target building.
[0065] The construction status parameters of the target building are converted into time series and spatial series formats, and the converted construction status parameters are cleaned to obtain construction status time series parameters and construction status spatial series parameters.
[0066] In the BIM parametric qualified model, identifier matching is performed on different qualified target parametric configuration components so that all qualified target parametric configuration components have corresponding identifiers;
[0067] Obtain the relational database, which is the location where the BIM parametric qualified model is integrated, associated and stored with the construction state time series parameters and the construction state spatial series parameters, respectively.
[0068] In the relational database, based on the identifier of the qualified target parameterized configuration component, the BIM parameterized qualified model is associated with the construction state time series parameters in the time dimension, and at the same time, the BIM parameterized qualified model is associated with the construction state spatial series parameters in the spatial dimension, so as to obtain the BIM parameterized qualified model after the time dimension and spatial dimension association, which is labeled as the BIM parameterized associated model.
[0069] It's important to note that after obtaining the qualified BIM parametric model, it's necessary to associate it with the construction status of the target building during the construction process. The purpose is to utilize AI technology to continuously analyze the construction status, prevent oversights during construction, and ensure the steady progress of construction and operation. In associating the model with the construction status parameters, these parameters need to be converted into time-series and spatial-series formats. Time-series construction status parameters can be associated with the qualified BIM parametric model along the time dimension, allowing for analysis of the construction status at different times, thereby achieving design optimization. Similarly, spatial-series construction status parameters can be associated with the qualified BIM parametric model along the spatial dimension, allowing for analysis of on-site geometric information data during construction, thus achieving design optimization. After obtaining the construction status time-series and spatial-series parameters, they need to be integrated into the qualified BIM parametric model. In the BIM parametric qualified model, each component has an identifier. During the construction of the target building, different components are built step by step. Therefore, the BIM parametric qualified model is associated with the construction status time series parameters in the time dimension through the identifiers, and simultaneously associated with the construction status spatial series parameters in the spatial dimension, resulting in a BIM parametric associated model. The associated location is a relational database, which can be a NoSQL database, a data integration platform capable of storing and managing integrated parameters.
[0070] Figure 2 A flowchart illustrating the method for constructing a qualified BIM parametric model is shown, including the following steps:
[0071] S202: Parameter rules for determining key building parameters based on historical data networks;
[0072] S204: Construct target parametric components based on AI software and BIM modeling software;
[0073] S206: Construct an initial BIM parametric model of the target building in an AI-assisted BIM modeling system, and verify the initial BIM parametric model of the target building.
[0074] S208: Obtain a genetic algorithm from the AI model optimization technology of the AI-assisted BIM modeling system, and perform model tuning on the initial BIM parametric model based on the genetic algorithm to obtain a qualified BIM parametric model.
[0075] Furthermore, in a preferred embodiment of the present invention, the step of determining the parameter rules for the target key building parameters and constructing a qualified BIM parameterized model based on AI software and BIM modeling software, combined with the parameter rules for the target key building parameters, specifically involves:
[0076] Based on the target key building parameters, determine the building type of the target building, and based on the building type of the target building, determine the types of building components that the target building needs to use, and mark them as the target building component types;
[0077] By introducing BIM modeling software and interacting it with AI software, an AI-assisted BIM modeling system is obtained.
[0078] In the AI-assisted BIM modeling system, the target building component type is input, and based on AI modeling technology, type analysis and parametric component construction are performed on the target building component type to obtain parametric components of the target building with a construction type equal to the target building component type, which are then labeled as target parametric components.
[0079] It should be noted that, since AI technology is needed to assist BIM modeling software in constructing the parametric BIM model, the BIM modeling software and AI software need to be integrated and interact. This allows both software programs to simultaneously complete the construction of the parametric BIM model, resulting in an AI-assisted BIM modeling system. In the target building, different components have different types. After obtaining the component types of the target building, the AI-assisted BIM modeling system can analyze these component types to obtain a target parametric component. This target parametric component does not have specific parameters; it is a component whose parameters can be adjusted, essentially a component in a rough, unfinished model.
[0080] Furthermore, in a preferred embodiment of the present invention, the step of constructing an initial BIM parametric model of the target building in the AI-assisted BIM modeling system and performing model verification on the initial BIM parametric model of the target building specifically includes:
[0081] In the AI-assisted BIM modeling system, the target key building parameters are imported into the corresponding target parametric components for parameter configuration, resulting in target parametric components after parameter configuration based on the target key building parameters, which are then labeled as target parametric configuration components.
[0082] In the AI-assisted BIM modeling system, all target parametric configuration components are combined to obtain the initial BIM parametric model of the target building, wherein the initial BIM parametric model is a three-dimensional model.
[0083] In the AI-assisted BIM modeling system, a built-in initial verification script is obtained. Based on the parameter rules of the target key building parameters and AI model verification technology, the built-in initial verification script is updated to obtain a built-in parameter rule verification script.
[0084] Run the built-in parameter rule verification script to perform batch verification of parameter rules for target parameterized configuration components that have been combined in the initial BIM parameterized model. Target parameterized configuration components that do not conform to the parameter rules of the target key building parameters are marked as unqualified target parameterized configuration components, and target parameterized configuration components that conform to the parameter rules of the target key building parameters are marked as qualified target parameterized configuration components.
[0085] Determine whether the initial BIM parametric model contains unqualified target parametric configuration components;
[0086] If so, the initial BIM parametric model will be calibrated as a qualified BIM parametric model.
[0087] It should be noted that since the target parametric component is a component without specific parameters, essentially a rough model, the AI-assisted BIM modeling system configures target key architectural parameters into the target parametric component, making it a component with specific parameters, and these specific parameters are greater than the target key architectural parameters. This results in a target parametric configuration component, and all target parametric configuration components are combined to obtain an initial BIM parametric model. In this initial BIM parametric model, some target parametric configuration components may not conform to the parameter rules. For example, a wall component might have a preset desired wall height of 3m, meaning the target key architectural parameter specifies a desired wall height of 3m. However, in reality, a wall height of 3m would affect the overall spatial layout. For instance, the wall height might be too short, preventing complete connection with beams, or potentially leading to structural safety issues. This is just one example of a target parametric configuration component not conforming to the parameter rules. If some target parametric configuration components in the initial BIM parametric model do not conform to the parameter rules, design irregularities may occur during the actual construction of the target building, leading to safety hazards. Therefore, it is necessary to verify the target parametric configuration components in the initial BIM parametric model to determine if any target parametric configuration components do not conform to the parameter rules. A built-in parameter rule verification script can be used to automatically check whether the parameters of each component conform to the rules. The parameter rule verification script is generated by importing the parameter rules of the target key building parameters into a blank script. If no unqualified target parametric configuration components are found through the parameter rule verification script, the initial BIM parametric model is considered a qualified BIM parametric model. A qualified BIM parametric model is one in which all components conform to the parameter rules.
[0088] Furthermore, in a preferred embodiment of the present invention, the step of obtaining a genetic algorithm in the AI model optimization technology of the AI-assisted BIM modeling system, and optimizing the initial BIM parametric model based on the genetic algorithm to obtain a qualified BIM parametric model, specifically involves:
[0089] Obtain the real-time parameters of the unqualified target parameterized configuration components, wherein the real-time parameters of the unqualified target parameterized configuration components are the target key building parameters corresponding to the unqualified target parameterized configuration components;
[0090] Obtain the parameter rules of the target key building parameters corresponding to the unqualified target parameterized configuration components, label them as a type of parameter rules, and determine the component standard parameters of the unqualified target parameterized configuration components based on the type of parameter rules.
[0091] Based on the genetic algorithm, an objective function is defined, which is a function for iteratively adjusting and evaluating the fitness of unqualified target parameterized configuration components. Based on the objective function, the fitness of the real-time parameters of the unqualified target parameterized configuration components is iteratively adjusted, and the Euclidean distance between the real-time parameters of the unqualified target parameterized configuration components and the standard parameters of the components is calculated in real time during the fitness iterative adjustment process.
[0092] A preset standard Euclidean distance threshold is set. When the Euclidean distance between the real-time parameters of an unqualified target parametric configuration component and its standard parameters remains within the standard Euclidean distance threshold, the iterative adjustment of the fitness of the real-time parameters of the unqualified target parametric configuration component is stopped, so that there are no unqualified target parametric configuration components in the initial BIM parametric model, and a qualified BIM parametric model is obtained.
[0093] It should be noted that for initial BIM parametric models containing non-compliant target parametric configuration components, model optimization is required to eliminate these non-compliant components. Model optimization involves adjusting the parameters of the non-compliant target parametric configuration components. Determining the standard parameters of the non-compliant target parametric configuration components based on a set of parameter rules aims to determine the direction and target of parameter adjustment. In AI model optimization technology, a genetic algorithm is incorporated for model optimization. This genetic algorithm is an algorithm that can find the optimal solution during iterative analysis. By defining an objective function using the genetic algorithm, the fitness of the non-compliant target parametric configuration components can be iteratively adjusted and evaluated. The objective function is:
[0094]
[0095] Among them, w i It is the weight, Penalty(x) i ) is a penalty term for component i that does not conform to the parameter rules. Based on the objective function, fitness iterative adjustment and fitness evaluation are performed on unqualified target parameterized configuration components. The fitness iterative adjustment involves real-time adjustment of the parameters within the unqualified target parameterized configuration component, while the fitness evaluation involves real-time calculation of the Euclidean distance between the real-time parameters of the unqualified target parameterized configuration component and the standard parameters of the component. The smaller the Euclidean distance between the parameters, the more similar the parameters are. When the Euclidean distance between the parameters is within a preset threshold, it proves that the unqualified target parameterized configuration component has conformed to the parameter rules and does not need further fitness iterative adjustment. When there are no unqualified target parameterized configuration components in the initial BIM parameterized model, a qualified BIM parameterized model is obtained.
[0096] Furthermore, the aforementioned AI-based building information modeling and management method also includes the following steps:
[0097] The model parameters of the BIM parametric association model are analyzed, and based on the results of the model parameter analysis, a real-time construction design scheme for the target building is generated, and the estimated amount of resources required to construct the target building is obtained and labeled as the target resource amount.
[0098] In the AI software, the real-time construction design scheme and target resource quantity of the target building are analyzed by AI intelligent analysis to generate all construction schemes of the target building. The AI intelligent analysis is to perform correlation analysis between the specification parameters of different components in the real-time construction design scheme of the target building and the target resource quantity.
[0099] Cost calculations are performed on all construction plans for the target building to obtain the costs of different construction plans, and the maximum cost of constructing the target building is obtained and marked as the target cost;
[0100] Propose construction schemes with costs exceeding the target cost, and identify construction schemes with costs not exceeding the target cost as candidate construction schemes.
[0101] Based on AI software, the pollution emissions of all candidate construction schemes are calculated during execution, and the candidate construction scheme with the lowest pollution emissions is selected and marked as the target construction scheme.
[0102] It should be noted that after generating the BIM parametric association model, a real-time construction design scheme for the target building can be generated through this model. This real-time construction design scheme outlines how to continue construction under the current construction conditions, based on the building's required specifications. Simultaneously, the target resource quantity can be obtained, which represents the amount of resources needed to continue construction under the current conditions, such as the amount of cement or wood planks. Based on the target resource quantity and the real-time construction design scheme for the target building, all construction schemes for the target building can be obtained. Different construction schemes consume different amounts of manpower, materials, and financial resources. For example, even if the same ton of cement is needed, some construction schemes can improve the utilization rate of that ton, reducing waste and increasing economic efficiency. Therefore, it is necessary to calculate the cost of different construction schemes; if the cost exceeds a preset value, the corresponding construction scheme is unacceptable. After obtaining the candidate construction schemes, it is necessary to calculate the amount of pollution emitted by different candidate construction schemes. Some candidate construction schemes will generate a large amount of sewage and exhaust gas when output, which will greatly affect the ecological environment. It is necessary to select the candidate construction scheme with the smallest pollution emission, mark it as the target construction scheme and output it to achieve the minimization of construction cost and pollution emission.
[0103] like Figure 3As shown, a second aspect of the present invention also provides a building information modeling management system based on artificial intelligence. The building information modeling management system includes a memory 31 and a processor 32. The memory 31 stores a building information modeling management method. When the building information modeling management method is executed by the processor 32, it performs the following steps:
[0104] AI technology is used to extract key building parameters from the target building, and the extracted key building parameters are cleaned and converted in format to obtain the target key building parameters.
[0105] Determine the parameter rules for the target key building parameters, and construct a qualified BIM parametric model based on AI software and BIM modeling software, combined with the parameter rules for the target key building parameters.
[0106] By integrating and associating the qualified BIM parametric model with the construction status parameters of the target building, a BIM parametric association model is obtained.
[0107] The above are merely specific embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.
Claims
1. A building information modeling and management method based on artificial intelligence, characterized in that, Includes the following steps: AI technology is used to extract key building parameters from the target building, and the extracted key building parameters are cleaned and converted in format to obtain the target key building parameters. Determine the parameter rules for the target key building parameters, and construct a qualified BIM parametric model based on AI software and BIM modeling software, combined with the parameter rules for the target key building parameters. By integrating and associating the qualified BIM parametric model with the construction status parameters of the target building, a BIM parametric association model is obtained.
2. The building information modeling and management method based on artificial intelligence as described in claim 1, characterized in that, The process involves using AI technology to extract key building parameters from the target building, followed by parameter cleaning and format conversion to obtain the target key building parameters. Specifically: The building that needs to be designed is identified as the target building, and all parameter sources containing the building parameters of the target building are obtained and identified as the target parameter sources; Acquire AI software, which integrates AI-assisted technologies, including AI parameter extraction technology, AI parameter preprocessing technology, AI modeling technology, AI model verification technology, and AI model optimization technology; The target parameter source is imported into the AI software for storage, and the target parameter source is identified and extracted in the AI software using AI parameter extraction technology to obtain the key building parameters of the target building. In the AI software, based on AI parameter preprocessing technology, the key building parameters of the target building are cleaned to remove duplicate and outlier values, thus obtaining the cleaned key building parameters of the target building. The parameter format required for constructing the BIM parametric model is determined and calibrated as the target parameter format. Based on AI parameter preprocessing technology, the parameter format of the key building parameters of the target building after data cleaning is converted into the target parameter format. This yields the key building parameters of the target building that have undergone both parameter cleaning and parameter format conversion, and these are calibrated as the target key building parameters.
3. The building information modeling and management method based on artificial intelligence as described in claim 1, characterized in that, The method for determining the parameter rules of the target key building parameters, and based on AI software and BIM modeling software, constructing a qualified BIM parametric model by combining the parameter rules of the target key building parameters, specifically involves: Acquire historical data networks, and based on the historical data networks, retrieve the building design codes and building industry standards that need to be followed between the target key building parameters when constructing the target building, and label them as parameter rules for the target key building parameters; The parameter rules for the target key building parameters include the spatial layout rules and building code rules that the target key building parameters need to comply with; Based on the target key building parameters, determine the building type of the target building, and based on the building type of the target building, determine the types of building components that the target building needs to use, and mark them as the target building component types; By introducing BIM modeling software and interacting it with AI software, an AI-assisted BIM modeling system is obtained. In the AI-assisted BIM modeling system, the target building component type is input, and based on AI modeling technology, type analysis and parametric component construction are performed on the target building component type to obtain parametric components of the target building with a construction type equal to the target building component type, which are then labeled as target parametric components. By combining the target parametric components, the parameter rules of the target key building parameters, and the target key building parameters, an initial BIM parametric model of the target building is constructed in the AI-assisted BIM modeling system. The initial BIM parametric model of the target building is then validated and optimized to obtain a qualified BIM parametric model.
4. The building information modeling and management method based on artificial intelligence as described in claim 3, characterized in that, The process involves constructing an initial BIM parametric model of the target building in the AI-assisted BIM modeling system, and then validating and optimizing the initial BIM parametric model to obtain a qualified BIM parametric model. Specifically: In the AI-assisted BIM modeling system, the target key building parameters are imported into the corresponding target parametric components for parameter configuration, resulting in target parametric components after parameter configuration based on the target key building parameters, which are then labeled as target parametric configuration components. In the AI-assisted BIM modeling system, all target parametric configuration components are combined to obtain the initial BIM parametric model of the target building, wherein the initial BIM parametric model is a three-dimensional model. In the AI-assisted BIM modeling system, a built-in initial verification script is obtained. Based on the parameter rules of the target key building parameters and AI model verification technology, the built-in initial verification script is updated to obtain a built-in parameter rule verification script. Run the built-in parameter rule verification script to perform batch verification of parameter rules for target parameterized configuration components that have been combined in the initial BIM parameterized model. Target parameterized configuration components that do not conform to the parameter rules of the target key building parameters are marked as unqualified target parameterized configuration components, and target parameterized configuration components that conform to the parameter rules of the target key building parameters are marked as qualified target parameterized configuration components. Determine whether the initial BIM parametric model contains unqualified target parametric configuration components; If so, the initial BIM parametric model will be calibrated as a qualified BIM parametric model; If not, then the genetic algorithm is obtained from the AI model optimization technology of the AI-assisted BIM modeling system, and the initial BIM parametric model is tuned based on the genetic algorithm to obtain a qualified BIM parametric model.
5. The building information modeling and management method based on artificial intelligence as described in claim 4, characterized in that, The process of obtaining a genetic algorithm in the AI model optimization technology of the AI-assisted BIM modeling system, and then using the genetic algorithm to fine-tune the initial BIM parametric model to obtain a qualified BIM parametric model, specifically involves: Obtain the real-time parameters of the unqualified target parameterized configuration components, wherein the real-time parameters of the unqualified target parameterized configuration components are the target key building parameters corresponding to the unqualified target parameterized configuration components; Obtain the parameter rules of the target key building parameters corresponding to the unqualified target parameterized configuration components, label them as a type of parameter rules, and determine the component standard parameters of the unqualified target parameterized configuration components based on the type of parameter rules. Based on the genetic algorithm, an objective function is defined, which is a function for iteratively adjusting and evaluating the fitness of unqualified target parameterized configuration components. Based on the objective function, the fitness of the real-time parameters of the unqualified target parameterized configuration components is iteratively adjusted, and the Euclidean distance between the real-time parameters of the unqualified target parameterized configuration components and the standard parameters of the components is calculated in real time during the fitness iterative adjustment process. A preset standard Euclidean distance threshold is set. When the Euclidean distance between the real-time parameters of an unqualified target parametric configuration component and its standard parameters remains within the standard Euclidean distance threshold, the iterative adjustment of the fitness of the real-time parameters of the unqualified target parametric configuration component is stopped, so that there are no unqualified target parametric configuration components in the initial BIM parametric model, and a qualified BIM parametric model is obtained.
6. The building information modeling and management method based on artificial intelligence as described in claim 1, characterized in that, The process of integrating and associating the qualified BIM parametric model with the construction status parameters of the target building to obtain the BIM parametric association model is as follows: During the construction of the target building, the construction status parameters of the target building are obtained, including the construction progress parameters and construction resource parameters of the target building. The construction status parameters of the target building are converted into time series and spatial series formats, and the converted construction status parameters are cleaned to obtain construction status time series parameters and construction status spatial series parameters. In the BIM parametric qualified model, identifier matching is performed on different qualified target parametric configuration components so that all qualified target parametric configuration components have corresponding identifiers; Obtain the relational database, which is the location where the BIM parametric qualified model is integrated, associated and stored with the construction state time series parameters and the construction state spatial series parameters, respectively. In the relational database, based on the identifier of the qualified target parameterized configuration component, the BIM parameterized qualified model is associated with the construction state time series parameters in the time dimension, and at the same time, the BIM parameterized qualified model is associated with the construction state spatial series parameters in the spatial dimension, so as to obtain the BIM parameterized qualified model after the time dimension and spatial dimension association, which is labeled as the BIM parameterized associated model.
7. A building information modeling management system based on artificial intelligence, characterized in that, The building information modeling management system includes a memory and a processor. The memory stores a building information modeling management method program. When the building information modeling management method program is executed by the processor, the steps of the building information modeling management method as described in any one of claims 1-6 are implemented. AI technology is used to extract key building parameters from the target building, and the extracted key building parameters are cleaned and converted in format to obtain the target key building parameters. Determine the parameter rules for the target key building parameters, and construct a qualified BIM parametric model based on AI software and BIM modeling software, combined with the parameter rules for the target key building parameters. By integrating and associating the qualified BIM parametric model with the construction status parameters of the target building, a BIM parametric association model is obtained.