Green building design method based on BIM technology

Abstract

The invention relates to the technical field of building design, and discloses a green building design method based on a BIM (Building Information Modeling) technology, which comprises the following steps: in a project initialization stage, comprehensively collecting climate, geography and regulation information, and creating an initial model on a BIM platform; performing energy consumption simulation and optimization by using real-time weather data to help to identify a high-energy-consumption area and make an adjustment; the AI algorithm is used for screening an optimal material combination from a material database and providing detailed parameters and expected effects; through the AR technology, a designer and a stakeholder can visually evaluate a design scheme in a virtual environment, and multi-party cooperation and rapid consensus achievement are promoted. By integrating dynamic energy consumption simulation, an intelligent material selection system and augmented reality (AR) aided design review, the design efficiency and accuracy are remarkably improved, the practical application of the green building concept is effectively promoted, the overall quality and energy efficiency of the building are improved, and a successful example is provided for future green building design.

Description

Technical Field

[0001] The present invention relates to the technical field of architectural design, and particularly to a green building design method based on BIM technology. Background Art

[0002] With the increasing global awareness of sustainable development and environmental protection, green buildings have become an important direction in modern architectural design. However, traditional architectural design methods face many challenges in achieving high-performance green buildings: First, the energy consumption analysis is not accurate enough to effectively identify high-energy-consuming areas and optimize them; second, the material selection lacks a scientific basis and usually relies on the experience of designers, resulting in waste of resources and increased costs; third, the communication efficiency among various stakeholders in the design process is low, which easily causes repeated modifications to the design scheme and increases the time and economic costs of the project. In addition, traditional design means are difficult to comprehensively evaluate the integration of the building with the surrounding environment, often ignoring the building appearance, functional layout and its impact on the surrounding natural or urban landscape. To solve these problems, we propose a green building design method based on BIM technology. Summary of the Invention

[0003] The main purpose of the present invention is to provide a green building design method based on BIM technology, which can effectively solve the problems in the background art.

[0004] To achieve the above purpose, the technical solution adopted by the present invention is as follows: A green building design method based on BIM technology, comprising the following steps: S1. Project initialization: Communicate with the owner, users and stakeholders to clarify the functional requirements, budget constraints and schedule of the building; collect climate data, geographical information, regulatory requirements and local material resources of the project location; create a new project on the selected BIM platform and set initial parameters according to the information collected above; S2. Dynamic energy consumption simulation and optimization: Refine all components in the BIM model, especially those affecting thermal performance; configure a dynamic energy consumption simulation tool, input real-time weather data and historical meteorological information as variables; run the simulation program and analyze the impact of different design schemes on energy consumption; make necessary modifications to the building model based on the simulation results to achieve the best energy-saving effect; S3: Intelligent material selection: Build a comprehensive building material database; input the specific requirements of the project into the intelligent material selection system; use AI algorithms to process the input requirements and information in the material database, recommend the most suitable building material options for the current project; provide designers with specific parameters and expected effects of each recommended material; S4. Augmented Reality (AR) - assisted Design Review: Import the optimized building model into the augmented reality system; Have designers, engineers, and other relevant personnel wear AR devices and "enter" the building in a virtual environment to observe the design effects and their relationships with the surrounding environment from different angles; Collect opinions from all parties through an interactive review meeting; Make corresponding modifications to the BIM model according to the feedback until a consensus is reached; S5. Scheme Confirmation and Implementation: Organize a final comprehensive review after all design iterations are completed; Prepare a detailed set of construction documents; Develop a construction plan, coordinate the work of all participating parties, and ensure smooth implementation in accordance with the green building design principles.

[0005] Preferably, in the above - mentioned S2, the dynamic energy consumption simulation and optimization steps further include adjusting the building design according to the simulation results, such as increasing the thickness of the insulation layer or adjusting the window area ratio, to achieve the optimal energy - saving effect.

[0006] Preferably, in the above - mentioned S3, each material in the building material database contains at least detailed information such as environmental impact assessment, cost, durability, etc.

[0007] Preferably, in the above - mentioned S3, use an AI algorithm to process the input requirements and information in the material database, and recommend the most suitable building material options for the current project, which specifically includes the following steps: S301. Data Standardization and Structuring: Uniformly classify and describe the multi - dimensional data of building materials to ensure that all material data is cleaned and sorted according to a consistent standard; S302. Requirement Analysis and Weight Setting: Define the importance weights of each material attribute according to project - specific requirements, including but not limited to budget constraints, functional requirements, aesthetic preferences, and green building goals; S303. Feature Extraction and Matching: Use machine - learning algorithms to extract features from the attributes in the material database, and screen out a set of candidate materials that meet the basic conditions based on the demand parameters input by the user; S304. Optimization Algorithm Application: Apply an optimization algorithm to generate multiple possible material combination schemes, and calculate the comprehensive score of each combination according to the weighted formula; S305. Result Sorting and Recommendation: Sort all candidate material combinations according to the total score, output the top N optimal combinations, and provide designers with the specific parameters and expected effects of each recommended material.

[0008] Preferably, in the above - mentioned S303, the feature extraction and matching steps further include: S3031: Use decision trees, random forests, or deep - learning models to extract features from the attributes in the material database; S302: Based on the demand parameters input by the user, filter out a set of candidate materials that meet the basic conditions from the database.

[0009] Preferably, in the S304, the optimization algorithm includes but is not limited to genetic algorithm and particle swarm optimization algorithm.

[0010] Preferably, in the S4, allowing designers, engineers and other relevant personnel to wear AR devices and "enter" the building in a virtual environment to observe the design effect and its relationship with the surrounding environment from different angles further includes: Providing a multi - perspective navigation function, allowing users to freely move and view various parts inside and outside the building; Implementing sunlight simulation to show the sunlight irradiation conditions at different time periods and their impacts on the inside and outside of the building; Simulating weather conditions, such as sunny, rainy or snowy days, to evaluate the changes in the building appearance and the surrounding environment; Showing the realism of material textures and colors, enabling users to intuitively feel the effects of different material selections.

[0011] Preferably, in the S4, the steps of collecting opinions from all parties through an interactive review meeting further include: Providing a real - time marking tool, allowing users to directly mark problem points or put forward improvement suggestions in the AR environment; Supporting a multi - person collaboration mode, enabling multiple stakeholders to participate in the review process simultaneously and communicate ideas instantly; Recording users' operations and comments, generating a detailed review report for subsequent reference and tracking.

[0012] Preferably, in the S4, the augmented reality (AR) - assisted design review steps further include a visualization display step: Providing multiple view options in the AR environment, including floor plans, sectional views and perspective views, to help users comprehensively understand the design scheme; Allowing users to switch different design schemes to compare and analyze the actual effects of different schemes.

[0013] Preferably, in the S4, the augmented reality (AR) - assisted design review steps further include a data update and iteration step: Regularly updating the building model data in the AR system to ensure that the latest version is used for each review; Continuously optimizing the functions and performance of the AR system according to the review results to improve the user experience and review efficiency.

[0014] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention integrates BIM technology and augmented reality (AR) technology, significantly improving the efficiency and accuracy of building design. In the project initialization stage, by comprehensively collecting information such as climate, geography, and regulations and creating an initial model on the BIM platform, a solid foundation is provided for subsequent design. The dynamic energy consumption simulation and optimization step uses real-time weather data and historical meteorological information for accurate simulation, helping designers identify high-energy consumption areas and make corresponding adjustments to achieve the best energy-saving effect. The intelligent material selection step uses AI algorithms to screen out the most suitable material combinations for the project from a large material database and provides detailed parameters and expected effects, reducing the time cost and errors of manual screening. These measures work together to ensure that the design solution meets both functional requirements and has high energy performance.

[0015] 2. The design of the augmented reality (AR) - assisted design review step of the present invention greatly enhances the user experience and the ability of multi - party collaboration. By allowing designers, engineers, and other relevant personnel to wear AR devices and "enter" the building in a virtual environment, they can visually observe the design effect and its relationship with the surrounding environment from multiple angles. The multi - perspective navigation function allows users to freely move and view various parts of the interior and exterior of the building, while the sunlight simulation and weather condition simulation further demonstrate the actual performance of the building under different time periods and climate conditions. In addition, the interactive review meeting supports a multi - person collaboration mode, enabling stakeholders to participate in the review process simultaneously, communicate ideas instantly, and the generation of real - time marking tools and detailed review reports also provides a strong basis for subsequent improvement. This immersive review method not only improves user participation but also promotes effective communication within the team, helping to quickly reach a consensus.

[0016] 3. Through refined dynamic energy consumption simulation and optimization and combined with an intelligent material selection system that recommends environmentally friendly materials, the present method can fully consider the sustainable development goals of buildings at the initial design stage, such as reducing energy consumption, lowering carbon emissions, and improving resource utilization rate. The application of augmented reality (AR) technology not only helps designers discover potential problems and adjust the design plan in a timely manner but also ensures that the final design can be harmoniously integrated with the surrounding natural or urban landscape, avoiding negative impacts on the ecological environment. The detailed construction document compilation and strict construction management process in the scheme confirmation and implementation stage ensure that the design plan can be successfully implemented, truly achieving the goal of green buildings. This not only helps to improve the overall quality and energy efficiency of buildings but also provides a successful case for future green building design. Brief Description of the Drawings

[0017] Figure 1 It is a flowchart of a green building design method based on BIM technology of the present invention. Detailed Embodiments

[0018] To make the technical means, creative features, achieved purposes and effects of the present invention easy to understand, the present invention will be further described below in conjunction with specific embodiments.

[0019] As Figure 1 shown, a green building design method based on BIM technology includes the following steps: S1. Project initialization: Communicate with the owner, users and stakeholders to clarify the functional requirements, budget constraints and schedule of the building; collect climate data, geographical information, regulatory requirements and local material resources of the project location; create a new project on the selected BIM platform and set initial parameters according to the information collected above; S2. Dynamic energy consumption simulation and optimization: Refine all components in the BIM model, especially those affecting thermal performance; configure dynamic energy consumption simulation tools, input real-time weather data and historical meteorological information as variables; run the simulation program and analyze the impact of different design solutions on energy consumption; make necessary modifications to the building model based on the simulation results to achieve the best energy-saving effect; Among them, the step of dynamic energy consumption simulation and optimization also includes adjusting the building design according to the simulation results, such as increasing the thickness of the insulation layer or adjusting the window area ratio, to achieve the optimal energy-saving effect.

[0020] S3: Intelligent material selection: Build a comprehensive building material database; input the specific requirements of the project into the intelligent material selection system; use AI algorithms to process the input requirements and information in the material database, recommend the most suitable building material options for the current project; provide designers with specific parameters and expected effects of each recommended material; Among them, each material in the building material database contains at least detailed information such as environmental impact assessment, cost, durability, etc.

[0021] Among them, using AI algorithms to process the input requirements and information in the material database, and recommending the most suitable building material options for the current project specifically includes the following steps: S301. Data standardization and structuring: Uniformly classify and describe the multi-dimensional data of building materials to ensure that all material data are cleaned and sorted according to consistent standards; S302. Requirement analysis and weight setting: Define the importance weights of each material attribute according to the specific requirements of the project, including but not limited to budget constraints, functional requirements, aesthetic preferences and green building goals; S303. Feature extraction and matching: Use machine learning algorithms to extract features from the attributes in the material database, and screen out a set of candidate materials that meet the basic conditions based on the demand parameters input by the user; Further, the step of feature extraction and matching also includes: S3031: Extract features of the attributes in the material database using a decision tree, random forest, or deep learning model; S302: Based on the demand parameters input by the user, screen out a set of candidate materials that meet the basic conditions from the database.

[0022] S304, Application of optimization algorithm: Apply an optimization algorithm to generate multiple possible material combination schemes, and calculate the comprehensive score of each combination according to the weighted formula; Furthermore, the optimization algorithm includes, but is not limited to, genetic algorithm and particle swarm optimization algorithm.

[0023] S305, Result sorting and recommendation: Sort all candidate material combinations according to the total score, output the top N optimal combinations, and provide the designer with the specific parameters and expected effects of each recommended material.

[0024] S4, Augmented reality (AR) - assisted design review: Import the optimized building model into the augmented reality system; Let designers, engineers, and other relevant personnel wear AR devices and "enter" the building in a virtual environment to observe the design effect and its relationship with the surrounding environment from different angles; Collect opinions from all parties through an interactive review meeting; Make corresponding modifications to the BIM model according to the feedback until a consensus is reached; Among them, letting designers, engineers, and other relevant personnel wear AR devices and "enter" the building in a virtual environment to observe the design effect and its relationship with the surrounding environment also includes: Provide a multi - perspective navigation function, allowing users to freely move and view various parts inside and outside the building; Implement sunlight simulation to show the sunlight irradiation conditions at different time periods and their impacts on the inside and outside of the building; Simulate weather conditions, such as sunny, rainy, or snowy days, to evaluate the changes in the building appearance and the surrounding environment; Show the realism of material textures and colors, enabling users to intuitively feel the effects of different material selections.

[0025] Among them, the steps of collecting opinions from all parties through an interactive review meeting also include: Provide a real - time marking tool, allowing users to directly mark problem points or put forward improvement suggestions in the AR environment; Support a multi - person collaboration mode, enabling multiple stakeholders to participate in the review process simultaneously and communicate ideas instantly; Record the operations and comments of users to generate a detailed review report for subsequent reference and tracking.

[0026] Among them, the augmented reality (AR) - assisted design review steps also include a visualization display step: Provide multiple view options in the AR environment, including floor plans, sectional views, and perspective views, to help users comprehensively understand the design scheme; Allow users to switch between different design schemes to compare and analyze the actual effects of different schemes.

[0027] Among them, the augmented reality (AR) assisted design review step further includes a data update and iteration step: Regularly update the building model data in the AR system to ensure that the latest version is used for each review; Continuously optimize the functions and performance of the AR system according to the review results to improve the user experience and review efficiency.

[0028] S5. Scheme confirmation and implementation: Organize a final comprehensive review after all design iterations are completed; Prepare a detailed construction document set; Develop a construction plan, coordinate the work of all participating parties, and ensure smooth implementation in accordance with the green building design principles.

[0029] By integrating BIM technology and augmented reality (AR) technology, the present invention significantly improves the efficiency and accuracy of building design. In the project initialization stage, by comprehensively collecting information such as climate, geography, and regulations and creating an initial model on the BIM platform, a solid foundation is provided for subsequent design; the dynamic energy consumption simulation and optimization step uses real-time weather data and historical meteorological information for accurate simulation, helping designers identify high-energy consumption areas and make corresponding adjustments, thereby achieving the best energy-saving effect; the intelligent material selection step uses AI algorithms to screen out the most suitable material combinations for the project from a huge material database and provides detailed parameters and expected effects, reducing the time cost and error of manual screening. These measures work together to ensure that the design solution meets both functional requirements and has high energy performance; the augmented reality (AR) - assisted design review step of the present invention greatly enhances the user experience and the ability of multi-party collaboration. By allowing designers, engineers, and other relevant personnel to wear AR devices and "enter" the building in a virtual environment, the design effect and its relationship with the surrounding environment can be intuitively observed from multiple angles; the multi-perspective navigation function allows users to freely move and view various parts inside and outside the building, while the sunlight simulation and weather condition simulation further demonstrate the actual performance of the building under different time periods and climate conditions. In addition, the interactive review meeting supports a multi-person collaboration mode, enabling stakeholders to participate in the review process simultaneously and communicate ideas instantly. The real-time marking tool and the generation of a detailed review report also provide a strong basis for subsequent improvement. This immersive review method not only improves user participation but also promotes effective communication among teams, helping to quickly reach a consensus; through refined dynamic energy consumption simulation and optimization and combined with the intelligent material selection system to recommend environmentally friendly materials, this method can fully consider the sustainable development goals of the building at the initial stage of design, such as reducing energy consumption, lowering carbon emissions, and improving resource utilization rate, etc.; the application of augmented reality (AR) technology not only helps designers discover potential problems and adjust the design solution in a timely manner but also ensures that the final design can be harmoniously integrated with the surrounding natural or urban landscape, avoiding negative impacts on the ecological environment; the preparation of detailed construction documents and the strict construction management process in the scheme confirmation and implementation stage ensure that the design solution can be successfully implemented, truly achieving the goal of green buildings. This not only helps to improve the overall quality and energy efficiency of the building but also provides a successful case for future green building design.

[0030] The foregoing has shown and described the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments, and what is described in the above embodiments and the specification is only to illustrate the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements fall within the scope of the present invention claimed. The scope of the present invention claimed is defined by the appended claims and their equivalents.

Claims

1. A green building design method based on BIM technology, characterized in that: It includes the following steps: S1. Project initialization: Communicate with the owner, users, and stakeholders to clarify the functional requirements, budget constraints, and schedule of the building; Collect climate data, geographical information, regulatory requirements, and local material resources of the project location; Create a new project on the selected BIM platform and set initial parameters according to the information collected above; S2. Dynamic energy consumption simulation and optimization: Refine all components in the BIM model, especially those affecting thermal performance; Configure the dynamic energy consumption simulation tool, input real-time weather data and historical meteorological information as variables; Run the simulation program and analyze the impact of different design solutions on energy consumption; Make necessary modifications to the building model based on the simulation results to achieve the best energy-saving effect; S3: Intelligent material selection: Build a comprehensive building material database; Input the specific requirements of the project into the intelligent material selection system; Use AI algorithms to process the input requirements and information in the material database, and recommend the building material options most suitable for the current project; Provide designers with the specific parameters and expected effects of each recommended material; S4. Augmented reality (AR)-assisted design review: Import the optimized building model into the augmented reality system; Let designers, engineers, and other relevant personnel wear AR devices and "enter" the building in a virtual environment to observe the design effect and its relationship with the surrounding environment from different angles; Collect opinions from all parties through an interactive review meeting; Make corresponding modifications to the BIM model according to the feedback until a consensus is reached; S5. Scheme confirmation and implementation: Organize a final comprehensive review after all design iterations are completed; Prepare a detailed construction document set; Develop a construction plan, coordinate the work of all participating parties, and ensure smooth implementation in accordance with the green building design principles.

2. The green building design method based on BIM technology according to claim 1, wherein: In the above S2, the dynamic energy consumption simulation and optimization step further includes adjusting the building design according to the simulation results, such as increasing the thickness of the insulation layer or adjusting the window area ratio, to achieve the optimal energy-saving effect.

3. A green building design method based on BIM technology according to claim 1, characterized in that: In the above S3, each material in the building material database contains at least detailed information such as a detailed environmental impact assessment, cost, and durability.

4. A green building design method based on BIM technology according to claim 1, characterized in that: In the above S3, using AI algorithms to process the input requirements and information in the material database and recommend the building material options most suitable for the current project specifically includes the following steps: S301. Data standardization and structuring: Uniformly classify and describe the multi-dimensional data of building materials to ensure that all material data is cleaned and sorted according to a consistent standard; S302. Requirement analysis and weight setting: Define the importance weights of each material attribute according to the specific requirements of the project, including but not limited to budget constraints, functional requirements, aesthetic preferences, and green building goals; S303. Feature extraction and matching: Use machine learning algorithms to extract features from the attributes in the material database and screen out a set of candidate materials that meet the basic conditions based on the demand parameters input by the user; S304. Application of optimization algorithms: Apply optimization algorithms to generate multiple possible material combination schemes and calculate the comprehensive score of each combination according to the weighted formula; S305, Result Sorting and Recommendation: Sort all candidate material combinations according to the total score, output the top N optimal combinations, and provide designers with the specific parameters and expected effects of each recommended material.

5. A green building design method based on BIM technology according to claim 4, characterized in that: In the S303, the feature extraction and matching step further includes: S3031: Use decision trees, random forests or deep learning models to extract features from the attributes in the material database; S302: Based on the demand parameters input by the user, screen out a set of candidate materials that meet the basic conditions from the database.

6. A green building design method based on BIM technology according to claim 4, characterized in that: In the S304, the optimization algorithms include but are not limited to genetic algorithms and particle swarm optimization algorithms.

7. A green building design method based on BIM technology according to claim 1, characterized in that: In the S4, when allowing designers, engineers and other relevant personnel to wear AR devices and "enter" the building in a virtual environment to observe the design effect and its relationship with the surrounding environment from different angles, it further includes: Provide a multi-perspective navigation function, allowing users to move freely and view various parts inside and outside the building; Implement sunlight simulation to show the sunlight irradiation conditions at different time periods and their impacts on the inside and outside of the building; Simulate weather conditions, such as sunny, rainy or snowy days, and evaluate the changes in the building appearance and the surrounding environment; Show the realism of material textures and colors, enabling users to intuitively feel the effects of different material selections.

8. A green building design method based on BIM technology according to claim 1, characterized in that: In the S4, the step of collecting opinions from all parties through an interactive review meeting further includes: Provide a real-time marking tool, allowing users to directly mark problem points or put forward improvement suggestions in the AR environment; Support a multi-person collaboration mode, enabling multiple stakeholders to participate in the review process simultaneously and communicate ideas immediately; Record the operations and comments of users, generate a detailed review report for subsequent reference and tracking.

9. A green building design method based on BIM technology according to claim 1, characterized in that: In the S4, the augmented reality (AR) assisted design review step further includes a visualization display step: Provide multiple view options in the AR environment, including floor plans, section views and perspective views, to help users comprehensively understand the design scheme; Allow users to switch different design schemes to compare and analyze the actual effects of different schemes.

10. A green building design method based on BIM technology according to claim 9, characterized in that: In the S4, the augmented reality (AR) assisted design review step further includes a data update and iteration step: Regularly update the building model data in the AR system to ensure that the latest version is used for each review; Continuously optimize the functions and performance of the AR system according to the review results to improve the user experience and review efficiency.

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