Curtain wall unit piece rapid generation verification system based on parameterized design

Abstract

The invention relates to the technical field of curtain wall design, and discloses a curtain wall unit piece rapid generation verification system based on parameterized design. The system comprises a parameter input processing module, a unit generation module, a structure verification module, an error correction module and a data association module. A parameter input processing module arranges a parameter input specification set and an association mapping relation; the unit generation module generates a unit form generation result; the structure verification module generates a structure verification optimization parameter set; the error correction module generates an error correction adjustment data set; the data association module generates a data association record table. Through cooperative work of all the modules, whole-process processing of the curtain wall unit from parameter input to generation, verification, correction and data association is achieved, the adaptability and collaboration of unit design and construction are improved, and the method is suitable for curtain wall unit design of complex building facades.

Description

Technical Field

[0001] This invention relates to the field of curtain wall design technology, specifically to a rapid generation and verification system for curtain wall unit components based on parametric design. Background Technology

[0002] In the field of modern architecture, curtain walls, as an important component of building facades, are becoming increasingly complex in design and construction due to the diversification of building forms. Traditional curtain wall unit design often relies on manual experience for parameter setting and form drawing, which is not only time-consuming but also prone to mismatch between unit form and overall building facade requirements due to differences in designers' subjective judgment. As the construction industry demands higher efficiency and precision in construction, parametric design concepts have been gradually introduced into the curtain wall field. However, existing parametric design systems still have many limitations in practical applications. For example, most systems can only achieve simple linear mapping between parameters and shapes, failing to meet the dynamic generation requirements of unit components under complex building facade shapes. When building facades have features such as curved surfaces, inclinations, or irregular turns, traditional systems struggle to quickly adjust the geometric elements of unit components, resulting in insufficient fit between the generated unit component shapes and the building facade. In the structural verification phase, traditional methods often use fixed verification indicators to analyze the stability of unit components, ignoring the dynamic changes in the stress points and stress distribution under different parameter combinations. This results in some unit components meeting basic morphological requirements after generation, but exhibiting structural stability issues after actual installation, requiring rework and adjustments, thus increasing construction costs and time. In traditional design processes, there is a lack of effective correlation between the generation of curtain wall unit components and construction data, resulting in a low degree of matching between design parameters and on-site construction data. Dimensional deviations or shape offsets are prone to occur during the production and assembly of unit components. If these deviations are not corrected in a timely manner, they can affect the assembly accuracy of the entire curtain wall system and even prevent the proper installation of some unit components. Existing systems mostly employ static adjustment methods for error correction, failing to dynamically optimize the morphology generation path based on real-time deviation data. This results in compatibility issues that may still exist in the corrected unit components. These problems collectively restrict the efficiency and quality of curtain wall unit component design, making it difficult to meet the requirements of modern buildings for rapid response and high precision in curtain wall systems. Summary of the Invention

[0003] The purpose of this invention is to provide a rapid generation and verification system for curtain wall unit components based on parametric design, so as to solve the problems mentioned in the background art.

[0004] To achieve the above objectives, the present invention provides a rapid generation and verification system for curtain wall unit components based on parametric design, the system comprising: Based on the basic parameters of the curtain wall design, the parameter input processing module calls the unit component size constraint parameters, building facade morphology features and parameter association rule data, analyzes the completeness of parameter input and the degree of matching with design rules, organizes the parameter input specification set and association mapping relationship, and generates a parameter input processing dataset. The unit component generation module, based on the parameter input processing dataset, extracts the geometric components and morphology generation logic of the curtain wall unit components, analyzes the influence of parameter mapping on the morphology of the unit components, adjusts the combination method of geometric elements and the distribution ratio of generation paths, redefines the generation trend and dynamic characteristic value of the unit component morphology, and generates the unit component morphology generation result. Based on the unit component morphology generation results, the structural verification module extracts the stress points and stress distribution changes of the curtain wall unit component structure, analyzes the impact of structural verification rules on stability, adjusts the balance of unit component structural verification indicators, and generates a set of optimized structural verification parameters. Based on the structure verification and optimization parameter set, the error correction module extracts the real-time dimensional deviation rate and shape offset during the curtain wall unit generation process, analyzes the impact of the deviation range on the unit assembly adaptability, dynamically adjusts the shape generation path and parameter matching ratio within the target range, and generates an error correction adjustment dataset. The data association module, based on the error correction and adjustment dataset, analyzes the correlation ratio and generation time between the design parameters and construction data of the curtain wall unit components, adjusts the parameters of the target association path, and generates a data association record table for the curtain wall unit components.

[0005] Preferably, the step of obtaining the completeness of the parameter input and the degree of matching with the design rules specifically includes: Based on the basic parameters of the curtain wall design, extract the unit component size constraint parameters, morphological feature data and association rule data, set a data filtering window, select typical parameter matching samples, and obtain parameter input integrity data and design rule data by comparing parameter correlation and filtering for effectiveness. Based on the parameter input integrity data and design rule data, the associated path is matched and verified, the difference between the parameter input and the rule requirements is calculated, the parameter input distribution and rule matching distribution are corrected by combining morphological feature changes, and the path parameters are adjusted by the influence of morphological features on the data to obtain the parameter input and rule matching status. Based on the matching of the parameter inputs and rules, an integrity analysis is performed, integrity analysis standards are set, and parameter distribution under differentiated morphological characteristics is evaluated in combination with the dynamic changes in design requirements. The integrity indices are compared and the morphological characteristics are optimized to obtain the degree of matching between the parameter input integrity and the design rules.

[0006] Preferably, the step of obtaining the parameter input processing dataset specifically includes: Based on the degree of matching between the parameter input integrity and the design rules, the parameter transmission and integrity changes of the system under differentiated design conditions are analyzed, and the parameter input distribution is weighted to obtain the preliminary parameter processing requirements of the system. Based on the initial parameter processing requirements of the system, the parameter balance within the system is analyzed, the relationship between parameter transmission efficiency and constraint allocation within the system is identified, and the parameter processing parameters are corrected. By combining the parameter processing dataset within the system with the integrity matching results, the parameters within the system are allocated, optimized, and matched to meet the required correlation and integrity requirements, thus obtaining the parameter input processing dataset.

[0007] Preferably, the steps for obtaining the stress points and stress distribution changes of the curtain wall unit structure are as follows: Based on the parameter input processing dataset, the morphological data of the curtain wall unit structure is extracted, the morphological feature points in each time period are filtered, and the morphological fluctuation is analyzed in combination with the morphological change trend of the differentiated position of the unit to obtain the morphological data of the curtain wall unit structure. Based on the morphological data of the curtain wall unit structure, the force value of each morphological feature point is calculated. By analyzing the relationship between morphology and force, the force change at each measurement point is identified. Combined with the unit structure parameters, the force change at different locations is compared to obtain the force distribution and stress distribution data. Based on the stress distribution data, the overall stress distribution of the curtain wall unit structure is analyzed, the stress gradient is optimized by combining morphological data, the impact of stress changes on the performance of the unit is analyzed, the stable stress configuration under differentiated design conditions is determined, and the stress points and stress distribution changes of the curtain wall unit structure are obtained.

[0008] Preferably, the step of obtaining the structural verification optimization parameter set specifically includes: Based on the stress points and stress distribution changes of the curtain wall unit structure, the time series of stress changes is determined, the current stress value is compared with the original stress data, the stress gradient at each moment is analyzed, and corresponding thresholds are defined according to the unit state partition to generate a preliminary set of stress change parameters. The preliminary set of stress variation parameters is analyzed to determine the impact of stress within the unit on the structural verification stability and to identify the correlation between stress and verification results. By analyzing the stability influence relationship of the unit component state partitions, and combining the unit component force change parameters, the balance of structural verification indicators is adjusted, the verification data is optimized, and a set of optimized structural verification parameters is generated.

[0009] Preferably, the steps for obtaining the unit component shape generation result are as follows: Based on the structure verification and optimization parameter set, extract the morphology generation data of the unit component surface, monitor the generation rate of the morphology under differentiated design conditions, infer the expansion characteristics of the morphology by combining external demand factors of time and function, define the generation and expansion rate coefficients, and generate an expansion dynamic parameter set. The influence of the generated extended dynamic parameter set on the morphological flow velocity and distribution is analyzed, and the ratio between the generation path and the morphological input rate is optimized according to the requirements of the surface morphological distribution of the unit component. Analyze the morphology distribution control results, adjust the ratio between morphology input rate and generation path, allocate morphology generation trends, and combine generation extension parameters with adjustment relationships to obtain unit component morphology generation results.

[0010] Preferably, the step of obtaining the error correction and adjustment dataset specifically includes: Based on the unit component shape generation results, the size fluctuation rate and shape offset of the monitoring system are monitored in real time during the generation process. The deviation range is identified, system outliers are eliminated, and the average deviation rate of the data is analyzed to obtain size and shape deviation data. The influence of the size and shape deviation range on the unit component assembly adaptability is analyzed. Using known unit component adaptation standards, the relationship between shape and size is analyzed, and the adaptation rate under the differential deviation range is calculated. Based on the adaptation rate, the morphology generation path and parameter matching ratio within the target range are dynamically adjusted. The relationship between the data and size and morphology deviation range affected by the adaptation rate is adjusted, the morphology flow rate and size control range are allocated, and an error correction and adjustment dataset is generated.

[0011] Preferably, the steps for obtaining the curtain wall unit component data association record table are as follows: Based on the error correction and adjustment dataset, the association and generation time analysis of the design parameters and construction data of the curtain wall unit are carried out. The association concentration data at different generation time points are collected, the data time distribution is sorted out, the association change trend is analyzed and the data is classified to obtain the association data of the curtain wall unit. Based on the data association of the curtain wall unit components, the target association path parameters are adjusted, the optimal association time and concentration distribution of the data are analyzed, and the concentration changes under differentiated association conditions are compared to adjust the operation conditions of association time, range, and parameter matching to obtain the target association path parameters. Based on the target association path parameters, the association conditions are adjusted according to the current operation parameters, and the variable relationships of association time, range, and parameter matching are controlled. Real-time association is performed according to the adjusted parameters to obtain the curtain wall unit component data association record table.

[0012] Preferably, the extraction steps of the geometric constituent elements and morphology generation logic of the unit component are as follows: Based on the parameter input processing dataset, key elements in the basic parameters of curtain wall design are screened. Combining the building facade morphology features and parameter association rules, the core and auxiliary dimensions of the geometric composition of unit components are identified. The triggering conditions and constraint boundaries of the morphology generation logic are analyzed. By comparing the element distribution of historical design cases, typical geometric composition elements and morphology generation logic are extracted. The geometric components and morphology generation logic are verified, and the element weights and logic priorities are adjusted according to the current design requirements. Redundant elements that do not conform to the current project are eliminated, and missing related logic is supplemented to obtain the geometric components and morphology generation logic of the unit component.

[0013] Preferably, the analysis step of the impact of the structural verification rule on stability is as follows: Based on the generated unit component morphology, stability indicators and evaluation criteria are extracted from the structural verification rules. Combined with the stress points and stress distribution changes of the curtain wall unit component structure, the influence weight of each indicator on stability is analyzed. By simulating the response data of different morphological unit components under typical stress conditions, the matching degree of each index in the verification rules is compared, the key and secondary rule items affecting stability are identified, the direction of rule adjustment and optimization priority are determined, and the results of the influence analysis of structural verification rules on stability are obtained.

[0014] Compared with the prior art, the beneficial effects of the present invention are: The parameter input processing module comprehensively analyzes the basic design parameters, compiling a standardized set of parameter inputs and associated mapping relationships. This avoids the deviations in unit component shapes caused by chaotic parameter settings in traditional designs. The module can call up multiple types of parameters and analyze their matching degree, making the parameter input more closely match the building facade morphology characteristics, and providing standardized initial data for the accurate generation of subsequent unit components. The unit component generation module extracts geometric components and morphological generation logic, analyzes the impact of parameter mapping on morphology, and adjusts the generation path, breaking through the limitations of linear mapping in traditional parametric design. It can flexibly adjust the combination method and generation trend of geometric elements according to different parameter combinations, enabling the generated unit component morphology to better adapt to the diverse needs of complex building facades. Whether it's a curved, inclined, or irregularly shaped curtain wall, it can generate unit components with a higher degree of matching. The structural verification module extracts stress points and stress distribution changes based on the generated unit component morphology, analyzes the impact of verification rules on stability, and optimizes verification indicators, thus changing the traditional fixed-indicator verification mode. By adjusting the balance of indicators, the structural stability of unit components can be evaluated more comprehensively, reducing safety hazards caused by insufficient verification of a single indicator, and enabling the generated unit components to have more reliable structural performance while meeting morphological requirements. The error correction module extracts dimensional deviation rate and shape offset in real time, and dynamically adjusts the generation path and parameter matching ratio, solving the lag problem of traditional static correction methods. This dynamic adjustment can correct deviations in a timely manner during the unit generation process, ensuring that the size and shape of the unit are within the assembly adaptation range, reducing assembly difficulties caused by excessive deviations, and improving the smoothness of the overall curtain wall assembly. The data association module analyzes the correlation ratio and generation time between design parameters and construction data, generating a data association record table, thus breaking down the barriers between design and construction data. By adjusting the association path parameters, a closer link is formed between design parameters and construction data, facilitating the traceability of data throughout the entire process of unit components from design to construction, reducing construction problems caused by data gaps, and improving the synergy between the design and construction of curtain wall unit components. Attached Figure Description

[0015] Figure 1 This is a schematic diagram illustrating the working principle of the rapid generation and verification system for curtain wall unit components based on parametric design as described in this invention. Figure 2 A flowchart for processing the dataset for parameter input; Figure 3 A flowchart for obtaining the stress points and stress distribution changes of curtain wall unit structures; Figure 4 A flowchart for optimizing parameter set acquisition for structural verification; Figure 5 A flowchart for adjusting the dataset acquisition for error correction. Detailed Implementation

[0016] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0017] See also Figures 1-5 This invention provides a rapid generation and verification system for curtain wall unit components based on parametric design, the system comprising: Based on the basic parameters of the curtain wall design, the parameter input processing module calls the unit component size constraint parameters, building facade morphology features and parameter association rule data, analyzes the completeness of parameter input and the degree of matching with design rules, organizes the parameter input specification set and association mapping relationship, and generates a parameter input processing dataset. The unit component generation module is based on the parameter input processing dataset, extracts the geometric components and morphology generation logic of the curtain wall unit components, analyzes the influence of parameter mapping on the morphology of the unit components, adjusts the combination method of geometric elements and the distribution ratio of generation paths, redefines the generation trend and dynamic characteristic value of the unit component morphology, and generates the unit component morphology generation result. Based on the unit component morphology generation results, the structural verification module extracts the stress points and stress distribution changes of the curtain wall unit component structure, analyzes the impact of structural verification rules on stability, adjusts the balance of unit component structural verification indicators, and generates a set of optimized structural verification parameters. The error correction module is based on the structural verification and optimization parameter set. It extracts the real-time dimensional deviation rate and shape offset during the generation process of curtain wall unit components, analyzes the impact of the deviation range on the assembly adaptability of unit components, dynamically adjusts the shape generation path and parameter matching ratio within the target range, and generates an error correction and adjustment dataset. The data association module adjusts the dataset based on error correction, analyzes the correlation ratio and generation time between the design parameters and construction data of the curtain wall unit components, adjusts the parameters of the target association path, and generates a data association record table for the curtain wall unit components.

[0018] Example 1

[0019] In the process of obtaining parameter input completeness and design rule matching information, unit component size constraint parameters, morphological feature data, and association rule data are extracted from the basic parameter information of the curtain wall design. This process requires comprehensive coverage of all basic parameters related to the curtain wall unit component design, including but not limited to dimensional constraint parameters such as the length, width, and thickness of the unit components; morphological feature data such as the curvature and tilt angle of the building facade; and association rule data such as the association logic between parameters and the range of values. Subsequently, a data filtering window is set. The setting of this window needs to be combined with the parameter characteristics of the specific design scenario, clearly defining the dimensions and scope of the filtering. For example, different filtering intervals can be set for dimensional constraint parameters under different building heights. When selecting typical parameter matching samples, representative samples should be selected from historical design data or standard design cases. These samples should reflect the parameter matching patterns under different design conditions. By comparing parameter correlations and performing effectiveness filtering, specifically analyzing the mutual influence relationships between parameters, those parameters with no correlation or extremely low correlation are eliminated, and parameter information with practical significance to the design is retained, thereby obtaining parameter input completeness data and design rule data.

[0020] Based on the obtained parameter input integrity data and design rule data, the associated paths are matched and verified. Associated paths refer to the transmission and influence paths formed between parameters according to design rules. During the matching and verification process, each parameter on each path must be checked to ensure it meets the design rule requirements. The difference between the parameter input and the rule requirements is calculated. Specific difference values ​​can be obtained through numerical calculations, such as the difference between the input value of a certain dimension parameter and the standard value required by the rule. The parameter input distribution and rule matching distribution are corrected in conjunction with changes in morphological features. That is, when morphological features change, such as a building facade changing from planar to curved, the corresponding parameter input distribution and rule matching distribution also need to be adjusted to adapt to the new morphological features. The path parameters are adjusted based on the influence of morphological features on the data. For example, under curved surfaces, the correlation strength and influence range of parameters differ from those under planar surfaces, requiring adjustments to the parameter values ​​on the paths to obtain the parameter input and rule matching status.

[0021] Based on the matching of parameter inputs and rules, an integrity analysis is performed. Integrity analysis standards are established, clearly defining the scope to be covered by parameter inputs, the required and optional fields for each parameter, and considering dynamic changes in requirements during the design process, such as changes in parameter requirements due to design phase progression. The parameter distribution under differentiated morphological characteristics is evaluated, analyzing whether the distribution of each parameter is reasonable and meets design requirements under different building facade morphological features. Integrity indices are compared, including parameter coverage and the missing rate of required parameters. By comparing indices under different conditions, morphological feature conditions are optimized. For example, if the parameter integrity index is low under a certain morphological feature, the description and constraints of that morphological feature are adjusted, ultimately yielding the degree of matching between parameter input integrity and design rules.

[0022] During the acquisition of the parameter input processing dataset, based on the degree of matching between the parameter input integrity and design rules obtained above, the changes in parameter transmission and integrity under differentiated design conditions are analyzed. Differentiated design conditions include different building types, structural forms, and climate zones. Under these different conditions, the transmission efficiency, transmission path, and parameter integrity within the system will exhibit different characteristics. A weighted calculation is performed on the parameter input distribution, based on the importance of the parameters in the design; parameters with higher importance are assigned higher weights. Through weighted calculation, the overall status of the parameter input is comprehensively evaluated to obtain the initial parameter processing requirements of the system.

[0023] Based on the initial parameter processing requirements of the system, the parameter balance within the system is analyzed. Parameter balance refers to whether the proportional relationships between the parameters within the system are coordinated, and whether there is a situation where some parameters are over-concentrated while others are neglected. The relationship between parameter transmission efficiency and constraint allocation within the system is identified, that is, the transmission speed and accuracy of parameters between different modules of the system are analyzed, as well as whether the allocation of constraints among the parameters is reasonable. Parameter processing parameters are then corrected. The correction process needs to consider the parameter balance, transmission efficiency, and constraint allocation relationship. For example, when the transmission efficiency of a certain parameter is low, the processing priority or processing method of that parameter is adjusted.

[0024] Based on the parameter processing dataset and integrity matching results within the system, parameters are allocated. During allocation, the processing requirements and relationships of each parameter must be considered to ensure that parameters are appropriately assigned to their corresponding processing modules or stages. The required relationships and integrity requirements are optimized and matched, i.e., the relationship between parameters is adjusted to conform to design rules, while ensuring that parameter integrity meets design standards. Through the above process, the final parameter input processing dataset is obtained. This dataset contains various parameter information after processing, optimization, and matching, providing basic data support for subsequent modules such as unit component generation.

[0025] Example 2

[0026] In acquiring the stress points and stress distribution variations of the curtain wall unit structure, morphological data of the curtain wall unit structure is extracted based on the parameter input processing dataset. This morphological data covers information related to the structural morphology, such as the geometry of the unit, the relative positional relationships of its components, and surface curvature. Morphological feature points within each time period are selected. The division of time periods can be determined based on the stage division in the design process or key nodes of structural morphological changes. Morphological feature points refer to points that reflect the core characteristics of the unit structure's morphology within that time period, such as corner points and surface vertices. Combining the morphological change trends of differentiated positions of the unit (including edges, centers, and connection points), the morphological change trends of these positions in different time periods are analyzed, such as whether deformation or displacement occurs, thereby analyzing morphological fluctuations. By comparing and analyzing the morphological data of different time periods and different positions, the morphological data of the curtain wall unit structure is obtained.

[0027] Based on the obtained morphological data of the curtain wall unit structure, the corresponding force value is calculated for each morphological feature point. The calculation of the force value needs to consider factors such as the material properties of the unit and external load conditions, and the magnitude and direction of the force borne by each morphological feature point are determined through structural mechanics analysis methods. By analyzing the relationship between morphology and force, the influence of changes in the unit's morphology on the force distribution is explored; for example, a certain curved surface shape may lead to an increase in force in a specific area. The force change at each measurement point is identified, i.e., the difference in force value at the same measurement point under different conditions (such as before and after load changes). Combined with the unit's structural parameters, such as the material's elastic modulus and cross-sectional dimensions, the force changes at different locations are compared, thereby obtaining force distribution and stress distribution data. These data clearly reflect the magnitude of the force and the stress distribution state at various parts of the unit.

[0028] Based on force distribution and stress distribution data, the overall force distribution of the curtain wall unit structure is analyzed to understand the force balance and concentration of the unit as a whole. The stress gradient is optimized by combining morphological data. The stress gradient reflects the rate of stress change at different parts of the unit. By adjusting the morphological data, such as changing the local geometry, the stress gradient is made more reasonable. The impact of force changes on the performance of the unit is analyzed, including the unit's load-bearing capacity and durability. Stable force configurations under differentiated design conditions are determined. These differentiated design conditions include different external environments and usage requirements. Stable force configurations refer to the force state that ensures the stability of the unit structure under these conditions, ultimately obtaining the stress points and stress distribution changes of the curtain wall unit structure.

[0029] In the process of obtaining the structural verification and optimization parameter set, based on the stress points and stress distribution changes of the curtain wall unit structure obtained above, the time series of stress changes is determined. The determination of the time series requires recording the stress state at different time points according to the chronological order of stress changes. The current stress value is compared with the original stress data, which can serve as the baseline data in the initial design phase. By comparing the differences between the two, the stress changes can be understood. The stress gradient at each moment is analyzed to clarify the rate and direction of stress change at different time points. Corresponding thresholds are defined according to the unit state zoning. The unit state zoning can be based on the functional zoning and stress characteristics of the structure. Each zoning defines different stress thresholds according to its importance and load-bearing requirements. Exceeding this threshold indicates a potential risk of structural instability, thus generating a preliminary set of stress change parameters.

[0030] The initial set of stress variation parameters is analyzed, focusing on the impact of stress within unit components on the structural verification stability. This process requires examining whether the unit structure can maintain stability under different stress states and whether signs of instability such as excessive deformation or fracture occur. The correlation between stress and verification results is identified, determining which stress parameter changes will significantly affect the structural verification results. By analyzing the stability influence relationships of different sections (sections refer to parts of the unit structure with similar stress characteristics or functions), the methods and degrees of mutual influence on the stability of different sections are understood. Based on the unit component stress variation parameters, the balance of structural verification indicators is adjusted to ensure that each verification indicator (such as strength, stiffness, and stability) has a reasonable weight in the evaluation. Verification data is optimized by eliminating invalid or interfering data and retaining data that truly reflects the structural state, ultimately generating an optimized set of structural verification parameters. This parameter set provides more accurate and effective parameter support for structural verification.

[0031] Example 3

[0032] In the process of acquiring the unit component morphology generation results, morphology generation data of the unit component surface is extracted based on the structural verification and optimization parameter set. This data covers information related to morphology generation, such as the geometric coordinates, curvature changes, and boundary contours of the unit component surface. The generation rate of the morphology is monitored under differentiated design conditions, including the orientation, height, and surrounding environmental constraints of the building facade. The generation rate is reflected in the change of morphological features per unit time, such as the rate of increase in the area of ​​the unfolded surface and the rate of change in the angle of the formed edges. The expansion characteristics of the morphology are inferred by combining external demand factors of time and function. Time factors include design cycle and construction progress requirements; functional factors include lighting requirements and wind resistance requirements; and expansion characteristics include the trend of the morphology extending in a specific direction and the morphological change patterns during the expansion process. Generation and expansion rate coefficients are defined. The generation rate coefficient reflects the speed of morphology generation, and the expansion rate coefficient reflects the strength of the morphology expansion trend. Based on the above monitoring and inference results, the specific values ​​of these two coefficients are determined, thereby generating a dynamic parameter set for generation and expansion.

[0033] This analysis examines the impact of the generated extended dynamic parameter set on morphological velocity and distribution. Morphological velocity refers to the rate of change of morphological features during the generation process, while morphological distribution refers to the distribution of different morphological features on the surface of the unit component. Based on the requirements of the morphological distribution on the unit component surface—such as smoother transitions in some areas and specific concave-convex structures in others—the ratio between the generation path and the morphological input rate is optimized. The generation path refers to the trajectory followed during morphological generation, and the morphological input rate refers to the speed at which parameter data is input for morphological generation. By adjusting the ratio, the morphological generation conforms to both path planning and rate requirements. The results of morphological distribution control are analyzed, i.e., whether the morphological distribution meets the expected requirements after optimization. The ratio between the morphological input rate and the generation path is adjusted. If the morphological distribution in a certain area is too dense or sparse in the control results, the corresponding morphological input rate for that area is increased or decreased, or the direction of the generation path is adjusted. The generation trend of the distribution pattern is clarified, the generation direction and development focus of the pattern in different regions are defined, and the generation expansion parameters and adjustment relationships are combined. The generation expansion parameters include the aforementioned generation and expansion rate coefficients, and the adjustment relationship refers to the mutual influence and constraint relationship between the parameters. By comprehensively considering these factors, the generation result of the unit component pattern is obtained.

[0034] During the acquisition of the error correction and adjustment dataset, based on the unit component shape generation results, the system monitors the dimensional fluctuation rate and shape offset during real-time generation. Dimensional fluctuation rate refers to the degree of fluctuation between the actual generated size and the designed size, obtained by continuously monitoring dimensional changes in the same dimension. Shape offset refers to the degree of deviation between the actual generated shape and the expected shape, such as the difference between the actual and designed curvature of a surface, or the distance between the actual and designed positions of corners. Identifying the deviation range involves determining the reasonable fluctuation range of dimensional fluctuation rate and shape offset, which needs to be determined in conjunction with the assembly accuracy requirements and functional implementation needs of the unit component. System outliers are removed; outliers refer to dimensional fluctuation and shape offset data that exceed the deviation range. These data may be caused by system malfunctions or input errors. Removing them ensures the accuracy of subsequent analysis, and then the average deviation rate of the data is analyzed, i.e., the average value of dimensional fluctuation rate and shape offset within the valid data range is calculated to obtain the dimensional and shape deviation data.

[0035] This study analyzes the impact of dimensional and morphological deviation ranges on the assembly adaptability of unit components. Assembly adaptability refers to the degree of fit between unit components and adjacent components, including the tightness of connections and ease of installation. Using known unit component adaptation standards, such as clearance tolerances and angular tolerance ranges, the relationship between shape and size is analyzed. For example, specific shapes require matching to corresponding dimensional ranges to ensure adaptability. The adaptation rate under differentiated deviation ranges is calculated. The adaptation rate refers to the speed at which unit components reach an adapted state within different deviation ranges, obtained by statistically analyzing the number of unit components meeting adaptation requirements within a certain time period. Based on the adaptation rate, the morphological generation path and parameter matching ratio within the target range are dynamically adjusted. The target range refers to the unit component area requiring focused adjustment. Adjustments are made based on the relationship between the adaptation rate impact data and the dimensional and morphological deviation ranges. For example, when the adaptation rate is low within a certain deviation range, dimensional fluctuations within that range are reduced, or the morphological generation path is adjusted to reduce morphological offset. The morphology flow rate and size control range are allocated. The morphology flow rate refers to the rate at which the morphology changes during the adjustment process, and the size control range refers to the range within which the size should be maintained after adjustment. By allocating them reasonably, the adjustment of morphology and size can be carried out efficiently and controlled within the expected range, and finally, an error correction adjustment dataset is generated.

[0036] In the above process, the adaptation rate can be calculated using the following formula:

[0037] in, Indicates the adaptation rate. This indicates the number of unit components that meet the adaptation standard within a set time. This indicates the total number of unit components generated within a set time period. This represents the average generation time of unit components that meet the adaptation standards. This indicates the set time threshold.

[0038] When dynamically adjusting the morphology generation path and parameter matching ratio within the target range based on the adaptation rate, it is necessary to refer to... The magnitude of the value. When A higher R value indicates that the current shape generation path and parameter matching ratio are reasonable, and the existing adjustment strategy can be maintained. When the R value is low, it is necessary to increase the correction magnitude of the shape generation path or adjust the parameter matching ratio to improve the assembly adaptability of the unit component. Through the above series of steps, the error correction adjustment dataset is generated. This dataset contains information such as the dynamically adjusted shape generation path, parameter matching ratio, shape flow rate, and size control range.

[0039] Example 4

[0040] During the acquisition of the curtain wall unit component data association record table, based on the error correction and adjustment dataset, the association and generation time analysis of the curtain wall unit component design parameters and construction data are performed. Design parameters include the unit component's size, material, and morphological parameters, while construction data includes installation location data, construction sequence data, and on-site adjustment data. Association concentration data at differentiated generation time points are collected. These differentiated generation time points can be divided according to design stage, such as when the preliminary design is completed, when the detailed design is completed, and when production and processing are completed. The association concentration data reflects the tightness of the association between design parameters and construction data at specific time points. The data time distribution is analyzed, i.e., the quantity and type distribution of associated data at different time points are statistically analyzed, and the trend of association changes is analyzed, such as whether the association concentration increases or decreases over time. Simultaneously, the data is categorized, such as by parameter type or construction stage, thus obtaining the curtain wall unit component data association data.

[0041] Based on the data association of curtain wall unit components, the parameters of the target association path are adjusted. The target association path refers to the main path from design parameters to construction data, such as the path from dimensional parameters to installation location data, and the path from morphological parameters to on-site adjustment data. The optimal association time and concentration distribution are analyzed. The optimal association time is the point in time when the design parameters and construction data are most closely associated, while the concentration distribution refers to the distribution of associated data at different time points. By comparing the concentration changes under differentiated association conditions, including different design complexities and construction environments, the association concentration is observed to change under these conditions. This allows for the adjustment of the association time, range, and parameter matching operation conditions. The association range refers to the coverage of the parameters and data involved in the association, and the parameter matching operation conditions refer to the settings that must be met when matching parameters. This process yields the target association path parameters.

[0042] Based on the target association path parameters, the association conditions are adjusted according to the current operation parameters, including real-time design progress parameters and construction progress parameters. The relationship between the variables of association time, scope, and parameter matching is controlled, that is, how these factors influence and change each other during the association process is clarified. Real-time association is performed based on the adjusted parameters. Real-time association refers to dynamically establishing the association between design parameters and construction data during the design and construction process, ultimately resulting in a curtain wall unit component data association record table. This record table details the correspondence between design parameters and construction data at different time points and under different association paths.

[0043] In the process of extracting the geometric components and morphological generation logic of unit components, key elements in the basic parameters of curtain wall design are screened based on the parameter input processing dataset. Basic curtain wall design parameters include building height, facade area, and wind pressure load. Key elements refer to parameters that play a major role in the geometric composition and morphological generation of unit components, such as dimensional parameters that determine the basic outline of the unit component and curvature parameters that affect the surface shape of the unit component. Combining the building facade morphological characteristics and parameter association rules—such as whether the facade is curved or has concave-convex variations—and parameter association rules such as the matching rules between dimensional parameters and material parameters, and the association rules between morphological parameters and load parameters—the core and auxiliary dimensions of the geometric composition of unit components are identified. Core dimensions include length, width, and thickness, which determine the basic shape of the unit component, while auxiliary dimensions include chamfer radius and surface texture, which modify the shape.

[0044] This analysis examines the triggering conditions and constraint boundaries of the form generation logic. Triggering conditions refer to the conditions that initiate a specific form generation method, such as triggering the generation logic of curved surface units when the facade is curved. Constraint boundaries refer to the restrictions that must be followed during form generation, such as the maximum size of a unit not exceeding transportation limits. By comparing the element distribution of historical design cases—including curtain wall unit designs for similar buildings and curtain wall unit designs for different climate zones—this analysis observes the distribution patterns of geometric elements and the application of form generation logic in these cases, extracting typical geometric elements and form generation logic.

[0045] The geometric components and form generation logic are validated to check whether the extracted elements and logic meet the basic requirements of the current design. The element weights and logic priorities are adjusted based on the current design needs. Element weights reflect the importance of different geometric components in form generation, while logic priorities reflect the application order of different form generation logics; for example, aesthetically pleasing generation logic is prioritized while meeting structural requirements. Redundant elements that do not conform to the current project are eliminated; redundant elements refer to elements that have no actual impact on the current design. Missing related logic is added; missing related logic refers to logic not included in the currently extracted logic but necessary for the design. Finally, the geometric components and form generation logic of the unit components are obtained.

[0046] Example 5

[0047] In the analysis of the impact of structural verification rules on stability, stability indicators and evaluation criteria are extracted from the structural verification rules based on the unit component morphology generation results. The unit component morphology generation results include the unit component's 3D model data, geometric parameter set, and morphological feature description. The structural verification rules cover various regulations and guidelines related to the structural stability of curtain wall unit components. Stability indicators include wind pressure resistance, seismic performance, and deformation resistance, while evaluation criteria include the allowable range, testing methods, and judgment conditions for each indicator. For example, the wind pressure resistance indicator may involve the maximum displacement of a unit component under a specific wind pressure value; the evaluation criteria specify the upper limit of this displacement and the corresponding testing environment requirements.

[0048] This paper analyzes the impact weight of each indicator on stability by combining the stress points and stress distribution changes of the curtain wall unit structure. The stress points of the curtain wall unit structure include the connection points between the unit and the main structure, the load-bearing nodes of the unit itself, and weak points susceptible to external impacts. The stress distribution change reflects the magnitude and distribution of stress at these stress points and in the surrounding area under different loads. When analyzing the impact weight, it is necessary to examine the degree of correlation between each stability indicator and the stress state and stress distribution changes at the stress points. For example, the deformation resistance performance indicator is closely related to the stress change at key connection points of the unit. When the value of this indicator deviates from the evaluation standard, it may directly lead to stress concentration at the connection points, thus affecting the overall stability; therefore, its impact weight is relatively high. On the other hand, some auxiliary indicators related to surface flatness, although affecting appearance, have a weaker correlation with structural stability, and their impact weight is relatively low.

[0049] By simulating the response data of different shaped element components under typical stress conditions, including strong wind loads, seismic loads, and internal forces caused by temperature changes, the simulation aims to evaluate the performance of various element components, including planar, curved, and irregularly shaped components. During the simulation, the displacement changes, stress distribution, and connection node status of the element components under various stress conditions are recorded. The matching degree of each indicator in the verification rules is compared and verified, i.e., whether the response data of different shaped element components meet the evaluation criteria of each stability indicator. For example, whether the displacement of a certain curved element component under strong wind load is within the allowable range of wind pressure resistance performance indicators, and whether the stress values ​​of its key nodes meet the requirements of seismic performance indicators.

[0050] The process involves identifying key and secondary rules affecting stability. Key rules are those that play a decisive role in the stability of the unit structure, such as indicators and evaluation standards related to the strength of load-bearing nodes. Secondary rules, on the other hand, have a smaller impact on stability, such as indicators related to surface decorative details. The direction of rule adjustment and optimization priority are then determined. The direction of adjustment is based on the matching of indicators in the simulation results. For example, if the response data of a certain type of unit under seismic load frequently exceeds the seismic performance index, the evaluation standard or related testing method for that index needs to be adjusted. The optimization priority is based on the importance of the rules, prioritizing the adjustment of key rules before considering the optimization of secondary rules. Through this process, the impact analysis results of structural verification rules on stability are obtained, clearly showing the specific influence of different verification rules on the stability of the unit structure under various conditions.

[0051] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0052] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A rapid generation and verification system for curtain wall unit components based on parametric design, characterized in that, The system includes: Based on the basic parameters of the curtain wall design, the parameter input processing module calls the unit component size constraint parameters, building facade morphology features and parameter association rule data, analyzes the completeness of parameter input and the degree of matching with design rules, organizes the parameter input specification set and association mapping relationship, and generates a parameter input processing dataset. The unit component generation module, based on the parameter input processing dataset, extracts the geometric components and morphology generation logic of the curtain wall unit components, analyzes the influence of parameter mapping on the morphology of the unit components, adjusts the combination method of geometric elements and the distribution ratio of generation paths, redefines the generation trend and dynamic characteristic value of the unit component morphology, and generates the unit component morphology generation result. Based on the unit component morphology generation results, the structural verification module extracts the stress points and stress distribution changes of the curtain wall unit component structure, analyzes the impact of structural verification rules on stability, adjusts the balance of unit component structural verification indicators, and generates a set of optimized structural verification parameters. Based on the structure verification and optimization parameter set, the error correction module extracts the real-time dimensional deviation rate and shape offset during the curtain wall unit generation process, analyzes the impact of the deviation range on the unit assembly adaptability, dynamically adjusts the shape generation path and parameter matching ratio within the target range, and generates an error correction adjustment dataset. The data association module, based on the error correction and adjustment dataset, analyzes the correlation ratio and generation time between the design parameters and construction data of the curtain wall unit components, adjusts the parameters of the target association path, and generates a data association record table for the curtain wall unit components.

2. The rapid generation and verification system for curtain wall unit components based on parametric design according to claim 1, characterized in that, The specific steps for obtaining the completeness of the parameter input and the degree of matching with the design rules are as follows: Based on the basic parameters of the curtain wall design, extract the unit component size constraint parameters, morphological feature data and association rule data, set a data filtering window, select typical parameter matching samples, and obtain parameter input integrity data and design rule data by comparing parameter correlation and filtering for effectiveness. Based on the parameter input integrity data and design rule data, the associated path is matched and verified, the difference between the parameter input and the rule requirements is calculated, the parameter input distribution and rule matching distribution are corrected by combining morphological feature changes, and the path parameters are adjusted by the influence of morphological features on the data to obtain the parameter input and rule matching status. Based on the matching of the parameter inputs and rules, an integrity analysis is performed, integrity analysis standards are set, and parameter distribution under differentiated morphological characteristics is evaluated in combination with the dynamic changes in design requirements. The integrity indices are compared and the morphological characteristics are optimized to obtain the degree of matching between the parameter input integrity and the design rules.

3. The rapid generation and verification system for curtain wall unit components based on parametric design according to claim 2, characterized in that, The specific steps for obtaining the parameter input processing dataset are as follows: Based on the degree of matching between the parameter input integrity and the design rules, the parameter transmission and integrity changes of the system under differentiated design conditions are analyzed, and the parameter input distribution is weighted to obtain the preliminary parameter processing requirements of the system. Based on the initial parameter processing requirements of the system, the parameter balance within the system is analyzed, the relationship between parameter transmission efficiency and constraint allocation within the system is identified, and the parameter processing parameters are corrected. By combining the parameter processing dataset within the system with the integrity matching results, the parameters within the system are allocated, optimized, and matched to meet the required correlation and integrity requirements, thus obtaining the parameter input processing dataset.

4. The rapid generation and verification system for curtain wall unit components based on parametric design according to claim 3, characterized in that, The specific steps for obtaining the stress points and stress distribution changes of the curtain wall unit structure are as follows: Based on the parameter input processing dataset, the morphological data of the curtain wall unit structure is extracted, the morphological feature points in each time period are filtered, and the morphological fluctuation is analyzed in combination with the morphological change trend of the differentiated position of the unit to obtain the morphological data of the curtain wall unit structure. Based on the morphological data of the curtain wall unit structure, the force value of each morphological feature point is calculated. By analyzing the relationship between morphology and force, the force change at each measurement point is identified. Combined with the unit structure parameters, the force change at different locations is compared to obtain the force distribution and stress distribution data. Based on the stress distribution data, the overall stress distribution of the curtain wall unit structure is analyzed, the stress gradient is optimized by combining morphological data, the impact of stress changes on the performance of the unit is analyzed, the stable stress configuration under differentiated design conditions is determined, and the stress points and stress distribution changes of the curtain wall unit structure are obtained.

5. The rapid generation and verification system for curtain wall unit components based on parametric design according to claim 4, characterized in that, The specific steps for obtaining the structural verification optimization parameter set are as follows: Based on the stress points and stress distribution changes of the curtain wall unit structure, the time series of stress changes is determined, the current stress value is compared with the original stress data, the stress gradient at each moment is analyzed, and corresponding thresholds are defined according to the unit state partition to generate a preliminary set of stress change parameters. The preliminary set of stress variation parameters is analyzed to determine the impact of stress within the unit on the structural verification stability and to identify the correlation between stress and verification results. By analyzing the stability influence relationship of the unit component state partitions, and combining the unit component force change parameters, the balance of structural verification indicators is adjusted, the verification data is optimized, and a set of optimized structural verification parameters is generated.

6. The rapid generation and verification system for curtain wall unit components based on parametric design according to claim 5, characterized in that, The specific steps for obtaining the unit component shape generation result are as follows: Based on the structure verification and optimization parameter set, extract the morphology generation data of the unit component surface, monitor the generation rate of the morphology under differentiated design conditions, infer the expansion characteristics of the morphology by combining external demand factors of time and function, define the generation and expansion rate coefficients, and generate an expansion dynamic parameter set. The influence of the generated extended dynamic parameter set on the morphological flow velocity and distribution is analyzed, and the ratio between the generation path and the morphological input rate is optimized according to the requirements of the surface morphological distribution of the unit component. Analyze the morphology distribution control results, adjust the ratio between morphology input rate and generation path, allocate morphology generation trends, and combine generation extension parameters with adjustment relationships to obtain unit component morphology generation results.

7. The rapid generation and verification system for curtain wall unit components based on parametric design according to claim 6, characterized in that, The specific steps for obtaining the error correction and adjustment dataset are as follows: Based on the unit component shape generation results, the size fluctuation rate and shape offset of the monitoring system are monitored in real time during the generation process. The deviation range is identified, system outliers are eliminated, and the average deviation rate of the data is analyzed to obtain size and shape deviation data. The influence of the size and shape deviation range on the unit component assembly adaptability is analyzed. Using known unit component adaptation standards, the relationship between shape and size is analyzed, and the adaptation rate under the differential deviation range is calculated. Based on the adaptation rate, the morphology generation path and parameter matching ratio within the target range are dynamically adjusted. The relationship between the data and size and morphology deviation range affected by the adaptation rate is adjusted, the morphology flow rate and size control range are allocated, and an error correction and adjustment dataset is generated.

8. The rapid generation and verification system for curtain wall unit components based on parametric design according to claim 7, characterized in that, The specific steps for obtaining the curtain wall unit component data association record table are as follows: Based on the error correction and adjustment dataset, the association and generation time analysis of the design parameters and construction data of the curtain wall unit are carried out. The association concentration data at different generation time points are collected, the data time distribution is sorted out, the association change trend is analyzed and the data is classified to obtain the association data of the curtain wall unit. Based on the data association of the curtain wall unit components, the target association path parameters are adjusted, the optimal association time and concentration distribution of the data are analyzed, and the concentration changes under differentiated association conditions are compared to adjust the operation conditions of association time, range, and parameter matching to obtain the target association path parameters. Based on the target association path parameters, the association conditions are adjusted according to the current operation parameters, and the variable relationships of association time, range, and parameter matching are controlled. Real-time association is performed according to the adjusted parameters to obtain the curtain wall unit component data association record table.

9. The rapid generation and verification system for curtain wall unit components based on parametric design according to claim 8, characterized in that, The extraction steps for the geometric components and morphology generation logic of the unit are as follows: Based on the parameter input processing dataset, key elements in the basic parameters of curtain wall design are screened. Combining the building facade morphology features and parameter association rules, the core and auxiliary dimensions of the geometric composition of unit components are identified. The triggering conditions and constraint boundaries of the morphology generation logic are analyzed. By comparing the element distribution of historical design cases, typical geometric composition elements and morphology generation logic are extracted. The geometric components and morphology generation logic are verified, and the element weights and logic priorities are adjusted according to the current design requirements. Redundant elements that do not conform to the current project are eliminated, and missing related logic is supplemented to obtain the geometric components and morphology generation logic of the unit component.

10. The rapid generation and verification system for curtain wall unit components based on parametric design according to claim 9, characterized in that, The specific steps for analyzing the impact of the structural verification rules on stability are as follows: Based on the generated unit component morphology, stability indicators and evaluation criteria are extracted from the structural verification rules. Combined with the stress points and stress distribution changes of the curtain wall unit component structure, the influence weight of each indicator on stability is analyzed. By simulating the response data of different morphological unit components under typical stress conditions, the matching degree of each index in the verification rules is compared, the key and secondary rule items affecting stability are identified, the direction of rule adjustment and optimization priority are determined, and the results of the influence analysis of structural verification rules on stability are obtained.

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