Architectural design dynamic process online intelligent management system
By introducing data monitoring, target optimization and permission management units into the architectural design system, the problems of rigid permission management and insufficient data driving are solved, multi-objective optimization and global balance are achieved, and design efficiency and data security are improved.
Patent Information
- Application Number
- CN202510623424.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-05-15
- Publication Date
- 2025-08-12
AI Technical Summary
The permission management in the existing architectural design system is rigid and cannot be adjusted dynamically, resulting in permission conflicts and confusing data versions, inefficient design, and lack of systematic data drive, making it difficult to achieve a global balance between cost, energy consumption and aesthetics.
The data monitoring unit, the target optimization unit and the permission management unit are adopted to collect building data and user preference parameters, build building effect analysis models, generate path optimization instructions, combine role classification static permissions and project stage dynamic permissions, work together to avoid permission conflicts, and achieve multi-objective optimization.
It improves design efficiency, reduces design rework, realizes collaborative support throughout the life cycle, improves the intelligent application level of the system, and ensures data security and global optimization.
Smart Images
Figure CN120471422A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of building management, and in particular to an online intelligent management system for a dynamic process of building design. Background Art
[0002] In the online intelligent management of dynamic architectural design processes, existing BIM platforms have achieved design collaboration, data integration, and visualization, but permission management is mostly statically configured and cannot be dynamically adjusted according to project stages. In addition, architectural design management mostly focuses on local design parameters and has not yet been deeply integrated with dynamic process management and permission systems.
[0003] Therefore, the existing system has problems with rigid and lacks systematic permission management. Since role permissions are usually based on static classifications and cannot be dynamically adjusted according to the project stage, this leads to permission conflicts or redundancy. For example, designers may still need to participate in modifications during the construction phase, but there is no temporary permission upgrade mechanism. In addition, the collection of architectural design parameters and user preferences lacks systematicity, making it difficult to quickly achieve a global balance between cost, energy consumption and aesthetics. As a result, design optimization relies on experience rather than data-driven, resulting in insufficient data collection and analysis and low design efficiency. As a result, in multi-role, multi-stage collaboration, problems such as permission conflicts and data version confusion frequently occur, affecting project advancement efficiency.
[0004] In view of the above technical defects, a solution is now proposed. Summary of the Invention
[0005] The purpose of the present invention is to solve the problems of rigid authority management in the prior art, as well as the lack of systematic collection of architectural design parameters and user preferences, which makes it difficult to quickly achieve a global balance between cost, energy consumption and aesthetics, resulting in design optimization relying on experience rather than data-driven, causing insufficient data collection and analysis and low design efficiency. As a result, in multi-role, multi-stage collaboration, problems such as authority conflicts and data version confusion frequently occur, affecting the efficiency of project advancement.
[0006] In order to achieve the above object, the present invention adopts the following technical solutions: An online intelligent management system for a dynamic process of architectural design includes a data monitoring unit, a target optimization unit, and an authority management unit, wherein the data monitoring unit, the target optimization unit, and the authority management unit are communicatively connected with each other; The data monitoring unit is used to collect building data: building data includes building design parameters and user preference parameters; The target optimization unit is used to construct a building effect analysis model: the building effect analysis model inputs building data and analyzes user preference parameters to obtain a building effect vector. The building effect vector includes cost, energy consumption, and aesthetic components. It then establishes a correlation path between the building design parameters and the effect vector, sets an objective function for the building design effect, generates and outputs path optimization instructions to locally adjust the building parameters, and obtains the globally optimal building design solution. The authority management unit is used to build a building management authority model: the building management authority model detects and identifies semantic-level conflicts by locking local building design area anomalies, and sets up a collaborative working mechanism for role classification static authorities and project stage dynamic authorities.
[0007] Furthermore, the data monitoring unit includes a building parameter collection module and a user preference collection module; Architectural design parameters and user preference parameters are collected through the architectural parameter collection module and the user preference collection module respectively; The authority management unit includes a building parameter management module and a user authority configuration module; The building parameter management module is used to align the time and space stamps of building parameters, identify anomalies in local building design areas, and detect semantic-level conflicts in path optimization instructions. The user authority configuration module is used to set the collaborative working mechanism of role classification static authority and project stage dynamic authority; The collaborative work mechanism includes static permission setting based on role classification, dynamic permission configuration at project stages, and permission conflict detection and resolution mechanism.
[0008] Furthermore, the role classification static permissions are set as follows: The role classification includes m1 role categories, specifically architects, structural engineers, electrical engineers, project managers, and administrative staff; Different static permissions are set for roles. Any role category is marked as i, the static permission set of role category i is marked as Qi, and any sub-permission of the static permission set Qi is marked as Q(i, j).
[0009] Furthermore, the configuration of dynamic permissions for project stages is as follows: The project phase includes m2 phase categories, including project initiation phase, scheme design phase, preliminary design phase, construction drawing design phase, project construction phase and project completion phase; Set different dynamic permissions for project stages, mark any stage category as p, mark the dynamic permission set of stage category p as Rp, mark any sub-permission of the dynamic permission set Rp as R(p,q), establish an association relationship between the sub-permission R(p,q) and the role category, obtain all role categories with sub-permission R(p,q) and integrate them as Ei, thereby generating a dynamic permission attribute vector V(R(p,q), Ei).
[0010] Furthermore, the building data includes building design parameters and user preference parameters; Architectural design parameters include structural indicators and material indicators; user preference parameters include construction cost indicators, equipment energy consumption indicators and architectural aesthetic indicators; Analyze user preference parameters through building data to obtain the building effect vector, which includes cost component, energy consumption component and aesthetic component. The cost component, energy consumption component and aesthetic component are evaluated through building cost index, equipment energy consumption index and building aesthetic index respectively. Among them, the construction cost index includes direct cost, indirect cost and other costs. The direct cost value, indirect cost value and other cost value are evaluated in sequence through the construction cost index, and then the direct cost value, indirect cost value and other cost value are accumulated and integrated to obtain the cost component C; the equipment energy consumption index includes the power and duration of electromechanical equipment; the energy consumption component E is obtained by accumulating and integrating the power and duration of electromechanical equipment; Architectural aesthetic indicators include color parameters, morphological parameters, and material parameters. Color parameters include color gamut contrast, morphological parameters include golden section fit, and material parameters include surface roughness. Image feature extraction and calculation are performed using a convolutional neural network. An aesthetic quantization matrix is then set and a weight vector is preset. The weight vector includes weight factors for color parameters, morphological parameters, and material parameters. This allows the aesthetic component B to be obtained through weighted fusion of architectural aesthetic indicators. Furthermore, the specific process of building the association path between architectural design parameters and effect vectors is as follows; By analyzing the effects of n architectural design drawings, an effect vector is generated. : ; The architectural design parameters are integrated into , through architectural design parameters With effect vector Conduct multiple regression analysis and build architectural design parameters With effect vector The regression model between each component is integrated to construct the characteristic correlation function G; Architectural design parameters The indicator element of Each component is used as the dependent variable. After the regression model is established, the model fitting effect is evaluated. The model fitting effect evaluation parameters include the coefficient of determination Rsq, the adjusted coefficient of determination Radj, and the predicted coefficient of determination Rpred; the model significant factor evaluation parameters include degrees of freedom (DF), adjusted sum of squares (AdjSS), adjusted mean square (AdjMS), F value (F-statistic) and P value (P-value), thus building the regression model; Furthermore, through architectural design parameters Integrate and mark the regression models F(c), F(e), and F(b) between the cost component C, the energy consumption component E, and the aesthetic component B to obtain the feature correlation function G; Obtain the objective function G of the architectural design effect through weighted fusion of cost component C, energy consumption component E and aesthetic component B; By locally adjusting the building parameters, the objective function G is improved, thereby generating and outputting a path optimization instruction for locally adjusting the building parameters; The maximum value Gmax of the objective function is obtained by maximizing the objective function G, and the architectural design scheme corresponding to Gmax is marked as the global optimal architectural design scheme.
[0011] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are: The present invention builds a building management authority model through the authority management unit, designs a static and dynamic authority collaborative working mechanism, avoids authority conflicts in multi-role collaboration, combines role classification static authority with project stage dynamic authority, and ensures data security; multi-dimensional data is driven by the data monitoring and acquisition unit, and the optimization mechanism is designed by the target optimization unit, constructs a building effect analysis model to analyze the correlation between building design parameters and effect vectors, generates path optimization instructions and global optimal solutions for local adjustment of building parameters, significantly improves design efficiency, realizes intelligent optimization of multi-objective optimization, reduces design rework, and realizes full life cycle collaborative support in multi-role and multi-stage collaboration, thereby improving the intelligent application level of the system. BRIEF DESCRIPTION OF THE DRAWINGS
[0012] Figure 1 shows a schematic diagram of the connection of the system modules of the present invention; Figure 2 A schematic flow chart showing the overall solution of the present invention is shown; Figure 3 A schematic diagram of the steps of the building effect analysis model of the present invention is shown. DETAILED DESCRIPTION
[0013] The following will clearly and completely describe the technical solutions in the embodiments of the present invention 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 making any creative efforts shall fall within the scope of protection of the present invention.
[0014] Example 1: like Figure 1-3 As shown, an online intelligent management system for dynamic process of architectural design includes a data monitoring unit, a target optimization unit and an authority management unit, and the data monitoring unit, the target optimization unit and the authority management unit are communicatively connected; The data monitoring unit includes a building parameter acquisition module and a user preference acquisition module; The authority management unit includes a building parameter management module and a user authority configuration module; The building parameter management module is used to align the time and space stamps of building parameters, identify anomalies in local building design areas, and detect semantic-level conflicts in path optimization instructions. The user permission configuration module is used to set the collaborative working mechanism of role classification static permissions and project stage dynamic permissions.
[0015] The working steps of this system are as follows: S1, the authority management unit builds the building management authority model: the user authority configuration module sets the collaborative working mechanism of role classification static authority and project stage dynamic authority; S1-1, the role classification static permissions are set as follows: The role classification includes m1 role categories, specifically architects, structural engineers, electrical engineers, project managers, and administrative staff; Set different static permissions for roles. Mark any role category as i, the static permission set of role category i as Qi, and any sub-permission of the static permission set Qi as Q(i, j). The implementation process of specific permission settings for role classification is as follows: The architect role is granted basic permissions to create, edit, and modify architectural design plans, and the permission to view relevant building codes, standard drawings, and design materials of previous similar projects. Among them, basic permissions refer to the ability to freely draw architectural sketches, adjust spatial layouts, and make detailed settings for various architectural elements in the design plan, such as wall thickness, door and window positions and sizes, etc.
[0016] The structural engineer role has the authority to operate modules related to building structure design, including creating structural models, performing structural calculation and analysis, and drawing structural construction drawings; it has the right to access various structural design software and related databases to obtain mechanical parameters, material performance data and other information required for structural design.
[0017] The electrical engineer role has the right to design the building electrical system, covering lighting design, power system planning, low-voltage system layout and other aspects. It can draw electrical drawings and set electrical equipment parameters, such as distribution box location and lamp selection. It also has access to electrical equipment product catalogs, electrical design specifications and related industry standards.
[0018] The project manager role has overall project management authority, including creating projects, setting basic project information such as project name, project cycle, project budget, etc., as well as assigning project member roles and tasks. The project manager can view key indicator data such as progress, cost, quality, etc. throughout the entire project process, and conduct real-time monitoring and decision-making on the project.
[0019] The administrative staff role has personnel information management permissions and can add, modify and delete system user information, including employee basic information, department affiliation, role assignment, etc.; it can manage documents and information within the system, such as uploading, downloading, organizing and archiving project-related files, and maintaining the orderliness of the document library.
[0020] S1-2, the configuration of dynamic permissions in the project stage is as follows: The project phase includes m2 phase categories, including project initiation phase, scheme design phase, preliminary design phase, construction drawing design phase, project construction phase and project completion phase; Set different dynamic permissions for project stages. Mark any stage category as p, mark the dynamic permission set of stage category p as Rp, mark any sub-permission of the dynamic permission set Rp as R(p,q), establish an association relationship between the sub-permission R(p,q) and the role category, obtain all role categories with sub-permission R(p,q) and integrate them as Ei, thereby generating a dynamic permission attribute vector V(R(p,q),Ei). Since there may be one or more role categories with sub-permissions R(p,q), the dynamic permission will be assigned to one or more role ports; The implementation process of specific permission settings in the project stage is as follows: Project Initiation: In addition to their static permissions, project managers are dynamically granted the authority to communicate with clients and obtain project requirements documents. They collect key information such as the client's functional requirements, style preferences, and budget constraints for architectural design, and enter this information into the system as an important basis for project design. Architects and relevant professional engineers are granted the authority to participate in project requirements analysis meetings. Scheme design stage: Architects' authority is further expanded. In addition to basic design authority, they are authorized to initiate multiple rounds of scheme design competitions and review and screen submitted design schemes. Structural engineers, electrical engineers and other professionals are given the authority to view detailed architectural design scheme details and submit professional opinions in the system. Project managers have the right to organize scheme report meetings and invite clients, company executives and relevant experts to participate.
[0021] Preliminary design stage: The authority of each professional engineer is more detailed and in-depth. After completing the preliminary structural design, the structural engineer has the right to submit the structural design calculation report for internal review; the electrical engineer has the authority to control the electrical system in the preliminary design plan, access the supplier information database, and communicate with suppliers online.
[0022] Construction drawing design stage: Professional engineers focus on drawing detailed construction drawings. At this time, they are given the authority to accurately mark the drawing dimensions and technical specifications in the system and to communicate with the construction unit about the drawings. The project manager has the right to review the construction drawing design results. Administrative staff can assist in organizing and archiving the large amount of documents generated during the construction drawing design stage. During the project construction phase, specialized engineers are authorized to provide technical guidance and solve problems at the construction site. The project manager has the authority to adjust the project schedule and resource allocation based on the actual conditions at the construction site, and handle various change requests during the construction process. The architect can make necessary optimization and adjustments to the design based on construction feedback.
[0023] Project completion stage: The project manager creates a completion acceptance process in the system and invites the construction unit, supervision unit, design unit and relevant departments to participate in the acceptance; each professional engineer has the right to conduct acceptance evaluation of the professional part of the project, submit an acceptance report, and record the acceptance results and outstanding issues in the system; administrative personnel are responsible for organizing and archiving the project completion data, and completing the final archiving and sealing of the project data in the system.
[0024] S1-3, the implementation process of the permission conflict detection and resolution mechanism is as follows: through the system's built-in permission conflict detection algorithm, when dynamically assigning permissions to users or adjusting static permissions of roles, it automatically detects whether there are permission conflicts. It also uses multi-level data encryption technology to encrypt the storage and transmission of user operation data, project design files, and permission information to prevent data leakage and tampering; For example, if a user is granted editing permissions for a file in the dynamic permissions of the project stage, but only has viewing permissions for the file in the static permissions of his role classification, the system will prompt a permission conflict and suspend the permission allocation operation. When a permission conflict occurs, the system administrator or project manager can manually adjust the permission allocation strategy through the permission conflict resolution interface, choose to prioritize the dynamic requirements of the project stage, and temporarily enhance the user's permissions.
[0025] By setting up a collaborative working mechanism for role classification static permissions and project stage dynamic permissions, the online intelligent management system for the dynamic process of architectural design can provide accurate, flexible and secure permission support for users of different roles throughout the entire life cycle of the project, effectively improving the management efficiency and quality of architectural design projects.
[0026] S2, the data monitoring unit collects building data: the building data includes building design parameters and user preference parameters; Architectural design parameters and user preference parameters are collected through the architectural parameter collection module and the user preference collection module respectively; Architectural design parameters include structural indicators and material indicators; Among them, structural indicators include window-to-wall ratio and floor height; material indicators include strength and thermal insulation performance; User preference parameters include building cost index, equipment energy consumption index and architectural aesthetic index; Construction cost indicators include direct costs, indirect costs and other costs; direct costs include labor costs, material costs and equipment costs; indirect costs include design costs, supervision costs and management costs; other costs include taxes, fees and unforeseen expenses; Equipment energy consumption indicators include the power and duration of electromechanical equipment; Color parameters include color gamut contrast. The color gamut contrast is collected from the architectural design drawing through image processing tools. When the color gamut contrast is less than a preset threshold, the color is judged to be relatively harmonious, thereby determining the color harmony; The morphological parameters include the golden section fit. The building outline and the length, width, and height ratios of the building components are obtained through the analysis of the 3D building model. The building outline and component ratios are analyzed and the difference with the golden section ratio is calculated. The golden section fit is then obtained through normalization and comprehensive analysis to determine the morphological harmony. Material parameters include surface roughness. The actual material parameters of building materials are recorded through a large number of building samples, and the surface roughness of the material is obtained and marked through mean calculation to evaluate the material texture.
[0027] S3, target optimization unit builds building effect analysis model: S3-1, the building effect analysis model inputs building data and analyzes user preference parameters to obtain a building effect vector, which includes a cost component, an energy consumption component, and an aesthetic component; Analyze user preference parameters through building data to obtain the building effect vector, which includes cost component, energy consumption component and aesthetic component. The cost component, energy consumption component and aesthetic component are evaluated through building cost index, equipment energy consumption index and building aesthetic index respectively. The direct cost value, indirect cost value and other cost values are evaluated in sequence through the construction cost index, and then the direct cost value, indirect cost value and other cost values are accumulated and integrated to obtain the cost component C; The energy consumption component E is obtained by accumulating and integrating the power and duration of electromechanical equipment; Architectural aesthetic indicators include color parameters, morphological parameters, and material parameters; Image feature extraction and calculation are performed through a convolutional neural network. Then, an aesthetic quantization matrix is set and a weight vector is preset. The weight vector includes weight factors of color parameters, morphological parameters, and material parameters. Thus, the aesthetic component B is obtained through the weighted fusion of the parameters of architectural aesthetic indicators.
[0028] S3-2, build the association path between architectural design parameters and effect vectors, and set the objective function of architectural design effect; Construct the association path between architectural design parameters and effect vectors; By analyzing the effects of n architectural design drawings, an effect vector is generated. : ; The architectural design parameters are integrated into , through architectural design parameters With effect vector Conduct multiple regression analysis and build architectural design parameters With effect vector The regression model between each component is integrated to construct the characteristic correlation function G; Architectural design parameters The indicator element of Each component is used as a dependent variable; the regression model is constructed by fitting using existing mathematical statistical methods, and the regression analysis data includes the coefficient of the regression equation, the standard error of the coefficient, the T value, the P value, and the variance inflation factor; After the regression model is established, the model fitting effect is evaluated. The model fitting effect evaluation parameters include the determination coefficient Rsq, the adjusted determination coefficient Radj, and the predicted determination coefficient Rpred; the effect vector is obtained by analyzing the significant factors of the model The significant independent variables of each component are analyzed to adjust the weight of the independent variables. The model significant factor evaluation parameters include degrees of freedom (DF), adjusted sum of squares (AdjSS), adjusted mean square (AdjMS), F value (F-statistic) and P value (P-value).
[0029] Architectural design parameters The regression model between the cost component C is labeled F(c); Architectural design parameters The regression model between the energy consumption component E is marked as F(e); Architectural design parameters The regression model between the aesthetic component B is labeled F(b); By architectural design parameters Integrate and mark the regression models F(c), F(e), and F(b) between the cost component C, the energy consumption component E, and the aesthetic component B to obtain the feature correlation function G; The characteristic correlation function G is used to characterize the correlation between the architectural design parameters and the effect vector, that is, through the architectural design parameters The effect vector of the architectural design solution can be calculated ; The objective function G of the architectural design effect is obtained by weighted fusion of the cost component C, the energy consumption component E and the aesthetic component B. The weight factors are preset and obtained after calculation through a large amount of experimental data. The calculation formula can be implemented by those skilled in the art through existing mathematical processing algorithms. The calculation formula must satisfy the logical relationship that the lower the cost component C, the lower the energy consumption component E, and the higher the aesthetic component B, the higher the objective function G.
[0030] S3-3, generating and outputting path optimization instructions to locally adjust building parameters to obtain the global optimal building design solution; By making local adjustments to the building parameters, the objective function G is continuously improved, thereby generating and outputting path optimization instructions for making local adjustments to the building parameters. For example, the structural indicators and material indicators of the local area of the building are adjusted to improve the objective function G. By maximizing the objective function G and marking the architectural design scheme corresponding to Gmax as the global optimal architectural design scheme.
[0031] S4, the building parameter management module is used to align the spatiotemporal stamps of building parameters, identify anomalies in local building design areas, and detect semantic-level conflicts in path optimization instructions; The specific process is as follows: by introducing a semantic analysis algorithm, a semantic-level analysis is performed on the locked abnormal area and the surrounding related areas. According to the preset semantic and conflict rules, it is determined whether there is a semantic-level conflict. For example, if semantic information marked as "equipment stacking area" appears in the area marked as "evacuation channel", the algorithm will identify this as a semantic-level conflict.
[0032] In summary, the present invention builds a building management authority model through the authority management unit, designs a static and dynamic authority collaborative working mechanism, avoids authority conflicts in multi-role collaboration, combines role classification static authority with project stage dynamic authority, and ensures data security; multi-dimensional data driving is carried out through the data monitoring and acquisition unit, and the optimization mechanism is designed through the target optimization unit, constructs a building effect analysis model to analyze the correlation between building design parameters and effect vectors, generates path optimization instructions and global optimal solutions for local adjustment of building parameters, significantly improves design efficiency, realizes intelligent optimization of multi-objective optimization, reduces design rework, and realizes full life cycle collaborative support in multi-role and multi-stage collaboration, thereby improving the intelligent application level of the system.
[0033] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. Those skilled in the art will appreciate that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution.
[0034] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.
[0035] The above description is only a preferred specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any technician familiar with the technical field, within the technical scope disclosed by the present invention, who makes equivalent replacements or changes based on the technical solution and inventive concept of the present invention, should be covered by the scope of protection of the present invention.
Claims
1. An online intelligent management system for dynamic architectural design processes, characterized by: It includes a data monitoring unit, a target optimization unit and a rights management unit, and the data monitoring unit, the target optimization unit and the rights management unit are communicatively connected; The data monitoring unit is used to collect building data: building data includes building design parameters and user preference parameters; The target optimization unit is used to construct a building effect analysis model: the building effect analysis model inputs building data and analyzes user preference parameters to obtain a building effect vector. The building effect vector includes cost, energy consumption, and aesthetic components. It then establishes a correlation path between the building design parameters and the effect vector, sets an objective function for the building design effect, generates and outputs path optimization instructions to locally adjust the building parameters, and obtains the globally optimal building design solution. The authority management unit is used to build a building management authority model: the building management authority model detects and identifies semantic-level conflicts by locking local building design area anomalies, and sets up a collaborative working mechanism for role classification static authorities and project stage dynamic authorities.
2. The online intelligent management system for dynamic architectural design processes according to claim 1, characterized in that: The data monitoring unit includes a building parameter acquisition module and a user preference acquisition module; Architectural design parameters and user preference parameters are collected through the architectural parameter collection module and the user preference collection module respectively; The authority management unit includes a building parameter management module and a user authority configuration module; The building parameter management module is used to align the time and space stamps of building parameters, identify anomalies in local building design areas, and detect semantic-level conflicts in path optimization instructions. The user authority configuration module is used to set the collaborative working mechanism of role classification static authority and project stage dynamic authority; The collaborative work mechanism includes static permission setting based on role classification, dynamic permission configuration at project stages, and permission conflict detection and resolution mechanism.
3. The online intelligent management system for dynamic architectural design processes according to claim 2 is characterized by: The static permissions for role categories are set as follows: The role classification includes m1 role categories, specifically architects, structural engineers, electrical engineers, project managers, and administrative staff; Different static permissions are set for roles. Any role category is marked as i, the static permission set of role category i is marked as Qi, and any sub-permission of the static permission set Qi is marked as Q(i, j).
4. The online intelligent management system for dynamic architectural design processes according to claim 3 is characterized by: The configuration of dynamic permissions for project stages is as follows: The project phase includes m2 phase categories, including project initiation phase, scheme design phase, preliminary design phase, construction drawing design phase, project construction phase and project completion phase; Set different dynamic permissions for project stages, mark any stage category as p, mark the dynamic permission set of stage category p as Rp, mark any sub-permission of the dynamic permission set Rp as R(p,q), establish an association relationship between the sub-permission R(p,q) and the role category, obtain all role categories with sub-permission R(p,q) and integrate them as Ei, thereby generating a dynamic permission attribute vector V(R(p,q), Ei).
5. The online intelligent management system for dynamic architectural design processes according to claim 4 is characterized by: Building data includes building design parameters and user preference parameters; Architectural design parameters include structural indicators and material indicators; user preference parameters include construction cost indicators, equipment energy consumption indicators and architectural aesthetic indicators; Analyze user preference parameters through building data to obtain the building effect vector, which includes cost component, energy consumption component and aesthetic component. The cost component, energy consumption component and aesthetic component are evaluated through building cost index, equipment energy consumption index and building aesthetic index respectively. Among them, the construction cost index includes direct cost, indirect cost and other costs. The direct cost value, indirect cost value and other cost value are evaluated in sequence through the construction cost index, and then the direct cost value, indirect cost value and other cost value are accumulated and integrated to obtain the cost component C; The equipment energy consumption index includes the power and duration of electromechanical equipment. The energy consumption component E is obtained by accumulating and integrating the power and duration of electromechanical equipment. Architectural aesthetic indicators include color parameters, morphological parameters, and material parameters; color parameters include color gamut contrast, morphological parameters include golden section fit, and material parameters include surface roughness; image feature extraction and calculation are performed through a convolutional neural network, and then an aesthetic quantization matrix is set and a weight vector is preset. The weight vector includes the weight factors of color parameters, morphological parameters, and material parameters, thereby obtaining the aesthetic component B through weighted fusion of the parameters of the architectural aesthetic indicators.
6. The online intelligent management system for dynamic architectural design processes according to claim 5, characterized in that: The specific process of building the association path between architectural design parameters and effect vectors is: By analyzing the effects of n architectural design drawings, an effect vector is generated. : ； The architectural design parameters are integrated into , through architectural design parameters With effect vector Conduct multiple regression analysis and build architectural design parameters With effect vector The regression model between each component is integrated to construct the characteristic correlation function G; Architectural design parameters The indicator element of Each component is used as the dependent variable. After the regression model is established, the model fitting effect is evaluated. The model fitting effect evaluation parameters include the coefficient of determination Rsq, the adjusted coefficient of determination Radj, and the predicted coefficient of determination Rpred; the model significant factor evaluation parameters include degrees of freedom (DF), adjusted sum of squares (AdjSS), adjusted mean square (AdjMS), F value (F-statistic) and P value (P-value), thereby building a regression model.
7. The online intelligent management system for dynamic architectural design processes according to claim 6, characterized in that: By architectural design parameters Integrate and mark the regression models F(c), F(e), and F(b) between the cost component C, the energy consumption component E, and the aesthetic component B to obtain the feature correlation function G; Obtain the objective function G of the architectural design effect through weighted fusion of cost component C, energy consumption component E and aesthetic component B; By locally adjusting the building parameters, the objective function G is improved, thereby generating and outputting a path optimization instruction for locally adjusting the building parameters; The maximum value Gmax of the objective function is obtained by maximizing the objective function G, and the architectural design scheme corresponding to Gmax is marked as the global optimal architectural design scheme.