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

Abstract

The application relates to the technical field of curtain wall design, and discloses a curtain wall unit element rapid generation verification system based on parameterized design. The system comprises a parameter input processing module, a unit element generation module, a structure verification module, an error correction module and a data correlation module. The parameter input processing module arranges a parameter input specification set and a correlation mapping relationship; the unit element generation module generates a unit element 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; and the data correlation module generates a data correlation record table. Through the cooperative work of the modules, the whole process of the curtain wall unit element from parameter input to generation, verification, correction and data correlation is realized, the adaptability and the collaboration of unit element design and construction are improved, and the curtain wall unit element design for a complex building facade is suitable.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of curtain wall design, in particular to a curtain wall unit element rapid generation and verification system based on parameterized design. BACKGROUND

[0002] In the field of modern architecture, curtain walls, as an important part of building facades, their design and construction complexity is constantly improving with the diversification of architectural forms. Traditional curtain wall unit element design relies heavily on manual experience for parameter setting and form drawing, which not only takes a long time, but also easily leads to mismatches between unit element forms and overall facade requirements due to subjective judgment differences among designers.

[0003] With the increasing demand for construction efficiency and accuracy in the construction industry, the concept of parameterized design has been gradually introduced into the field of curtain walls. However, existing parameterized design systems still have many limitations in practical application. For example, most systems can only achieve simple linear mapping of parameters and forms, and cannot meet the dynamic generation requirements of unit elements under complex architectural facade forms. When the architectural facade has features such as curved surfaces, inclinations, or irregular turns, traditional systems have difficulty quickly adjusting the geometric elements of unit elements, resulting in insufficient fit between the generated unit element forms and the architectural facade.

[0004] In the structure verification stage, the traditional method often uses fixed verification indicators to analyze the stability of unit elements, ignoring the dynamic changes in stress points and stress distribution under different parameter combinations. This makes some unit elements meet the basic form requirements after generation, but have structural stability problems after actual installation, requiring rework and adjustment, increasing construction costs and cycle.

[0005] In the traditional design process, there is a lack of effective correlation mechanism between the generation of curtain wall unit elements and construction data, and the matching degree of design parameters and on-site construction data is low. Unit elements are prone to size deviations or form deviations during production and assembly, and these deviations, if not corrected in time, will affect the assembly accuracy of the entire curtain wall system, and even cause some unit elements to be unable to be installed normally.

[0006] Existing systems mostly use static adjustment methods for error correction, which cannot dynamically optimize the form generation path based on real-time generated deviation data, resulting in possible compatibility problems in the corrected unit elements. These problems collectively constrain the efficiency and quality of curtain wall unit element design, making it difficult to meet the requirements of modern architecture for rapid response and high precision of curtain wall systems. SUMMARY

[0007] The present application aims to provide a curtain wall unit element rapid generation and verification system based on parameterized design to solve the problems raised in the background.

[0008] In order to achieve the above object, the application provides a curtain wall unit element rapid generation verification system based on parameterized design, which comprises:

[0009] The parameter input processing module calls unit element size constraint parameters, building facade form feature and parameter correlation rule data according to curtain wall design basic parameter information, analyzes parameter input integrity and design rule matching degree, sorts parameter input specification set and correlation mapping relationship, and generates parameter input processing data set;

[0010] The unit element generation module extracts curtain wall unit element geometric composition elements and form generation logic based on the parameter input processing data set, analyzes the influence of parameter mapping on unit element form, adjusts geometric element combination mode and generation path distribution proportion, redefines unit element form generation trend and dynamic characteristic value, and generates unit element form generation result;

[0011] The structure verification module extracts curtain wall unit element structure stress points and stress distribution change based on the unit element form generation result, analyzes the influence of structure verification rule on stability, adjusts unit element structure verification index balance, and generates structure verification optimization parameter set;

[0012] The error correction module extracts real-time size deviation rate and form deviation in the curtain wall unit element generation process based on the structure verification optimization parameter set, analyzes the influence of deviation range on unit element assembly adaptability, dynamically adjusts form generation path and parameter matching ratio in the target range, and generates error correction adjustment data set;

[0013] The data correlation module analyzes the correlation proportion and generation time of curtain wall unit element design parameters and construction data based on the error correction adjustment data set, adjusts the parameters of the target correlation path, and generates a curtain wall unit element data correlation record table.

[0014] Preferably, the parameter input integrity and design rule matching degree acquisition step specifically comprises:

[0015] According to curtain wall design basic parameter information, unit element size constraint parameters, form feature data and correlation rule data are extracted, a data filtering window is set, typical parameter matching samples are selected, parameter correlation is compared and effectiveness is filtered to obtain parameter input integrity data and design rule data;

[0016] Based on the parameter input integrity data and design rule data, the correlation path is matched and verified, the difference between parameter input and rule requirement is calculated, the parameter input distribution and rule matching distribution are corrected combined with form feature change, the path parameters are adjusted through the influence of form feature on data, and the parameter input and rule matching condition is obtained;

[0017] Based on the parameter input and the rule matching condition, integrity analysis is performed, integrity analysis standards are set, design dynamic change requirements are combined, parameter distribution under differentiated form feature conditions is evaluated, integrity indexes are compared and form feature conditions are optimized, and the parameter input integrity and the design rule matching degree are obtained.

[0018] Preferably, the parameter input processing data set acquisition step is specifically:

[0019] Based on the parameter input integrity and the design rule matching degree, the parameter transmission and integrity change of the system under differentiated design conditions are analyzed, and the parameter input distribution is weighted calculated, and the preliminary parameter processing requirement of the system is obtained.

[0020] Based on the preliminary parameter processing requirement of the system, the parameter balance in the system is analyzed, the parameter transmission efficiency and constraint allocation relationship in the system are identified, and the parameter processing parameter is corrected.

[0021] The parameters in the system are distributed, optimized and matched in combination with the parameter processing data set and the integrity matching result in the system, and the required correlation and integrity requirements are obtained.

[0022] Preferably, the acquisition step of the stress distribution change amount of the curtain wall unit element structure stress point is specifically:

[0023] Based on the parameter input processing data set, the form data of the curtain wall unit element structure is extracted, the form feature points in each time period are screened, the form fluctuation is analyzed in combination with the unit element differentiated position form change trend, and the form data of the curtain wall unit element structure is obtained.

[0024] Based on the form data of the curtain wall unit element structure, each form feature point and the corresponding stress value are calculated, the stress change amount of each measurement point is identified by analyzing the relationship between form and stress, the stress change of differentiated position is compared in combination with the unit element structure parameters, and the stress distribution and stress distribution data are obtained.

[0025] Based on the stress distribution and stress distribution data, the overall stress distribution of the curtain wall unit element structure is analyzed, the stress gradient is optimized in combination with the form data, the influence of stress change on the performance of the unit element is analyzed, the stable stress configuration under the differentiated design condition is determined, and the stress distribution change amount of the curtain wall unit element structure stress point is obtained.

[0026] Preferably, the acquisition step of the structure verification optimization parameter set is specifically:

[0027] Determine the time sequence of stress changes based on the stress points and stress distribution changes of the curtain wall unit element structure, compare the current stress value with the original stress data, analyze the stress gradient at each moment, and define the corresponding threshold value according to the unit element state partition, and generate a preliminary stress change parameter set;

[0028] Analyze the preliminary stress change parameter set, analyze the influence of stress within the unit element on the stability of the structure verification, and identify the correlation between stress and verification results;

[0029] By analyzing the stability influence relationship of the unit element state partition, combining the unit element stress change parameters, adjusting the structure verification index balance, optimizing the verification data, and generating a structure verification optimization parameter set.

[0030] Preferably, the unit element form generation result obtaining step specifically comprises:

[0031] Based on the structure verification optimization parameter set, extract the form generation data of the unit element surface, monitor the generation rate of the form under the differential design condition, combine the external demand factors of time and function to infer the expansion characteristics of the form, define the generation and expansion rate coefficient, and generate an expansion dynamic parameter set;

[0032] Analyze the influence of the generation and expansion dynamic parameter set on the form flow rate and distribution, and optimize the proportion between the generation path and the form input rate according to the demand of the unit element surface form distribution;

[0033] Analyze the form distribution regulation result, adjust the proportion relationship between the form input rate and the generation path, distribute the generation trend of the form, combine the generation and expansion parameters and the adjustment relationship, and obtain the unit element form generation result.

[0034] Preferably, the error correction adjustment data set obtaining step specifically comprises:

[0035] Based on the unit element form generation result, monitor the size fluctuation rate and form offset during the real-time generation process of the system, identify the deviation range, eliminate the abnormal values of the system, analyze the average deviation rate of the data, and obtain the size and form deviation data;

[0036] Analyze the influence of the size and form deviation range on the assembly adaptability of the unit element, analyze the relationship between the form and the size by using the known unit element adaptation standard, calculate the adaptation rate under the differential deviation range;

[0037] According to the adaptation rate, dynamically adjust the form generation path and parameter matching ratio within the target range, adjust according to the relationship between the adaptation rate influence data and the size and form deviation range, distribute the form flow rate and size control range, and generate an error correction adjustment data set.

[0038] Preferably, the curtain wall unit element data association record table acquisition step is specifically:

[0039] Based on the error correction adjustment data set, the curtain wall unit element design parameters and construction data association and generation time analysis are performed, the associated concentration data at the differentiated generation time points are collected, the data time distribution is arranged, the association change trend is analyzed and the data is classified, and the curtain wall unit element data association data is obtained;

[0040] Based on the curtain wall unit element data association data, target association path parameter adjustment is performed, data optimal association time and concentration distribution are analyzed, concentration changes under different association conditions are compared, association time, range, parameter matching operation conditions are adjusted, and target association path parameters are obtained.

[0041] Based on the target association path parameters, the association conditions are adjusted according to the current operation parameters, the variable relationship of the association time, range and parameter matching is controlled, real-time association is performed according to the adjusted parameters, and the curtain wall unit element data association record table is obtained.

[0042] Preferably, the extraction step of the unit element geometric composition element and form generation logic is specifically:

[0043] Based on the parameter input processing data set, the key elements in the curtain wall design basic parameters are screened, the core dimension and auxiliary dimension of the unit element geometric composition are identified combined with the building facade form feature and parameter association rule, the trigger condition and constraint boundary of the form generation logic are analyzed, and the typical geometric composition element and form generation logic are extracted by comparing the element distribution of historical design cases.

[0044] The geometric composition element and form generation logic are verified, the element weight and logic priority are adjusted combined with the current design requirements, the redundant elements not meeting the current project are eliminated, the missing association logic is supplemented, and the unit element geometric composition element and form generation logic are obtained.

[0045] Preferably, the structure verification rule influence analysis step is specifically:

[0046] Based on the unit element form generation result, the stability index and evaluation standard in the structure verification rule are extracted, the stress distribution change amount of the stress point of the curtain wall unit element structure is combined, and the influence weight of each index on stability is analyzed.

[0047] By simulating the response data of different form unit elements under typical stress conditions, the matching degree of each index in the verification rule is compared, the key rule items and secondary rule items affecting stability are identified, the rule adjustment direction and optimization priority are determined, and the structure verification rule influence analysis result is obtained.

[0048] Compared with the prior art, the beneficial effects of the present application are:

[0049] The parameter input processing module comprehensively analyzes the design basic parameters, sorts out the standardized parameter input set and the associated mapping relationship, and avoids the unit element shape deviation caused by parameter setting confusion in traditional design. The module can call multiple types of parameters and analyze their matching degree, making the parameter input more suitable for the building facade shape characteristics, and providing standardized initial data for the accurate generation of subsequent unit elements.

[0050] The unit element generation module extracts geometric elements and shape generation logic, analyzes the influence of parameter mapping on the shape and adjusts the generation path, breaking through the limitations of linear mapping in traditional parameterized design. It can flexibly adjust the combination mode and generation trend of geometric elements according to different parameter combinations, so that the generated unit element shape can better adapt to the diversified needs of complex building facades, whether it is a curved, inclined or irregular curtain wall, it can generate a unit element with higher matching degree.

[0051] The structure verification module extracts the stress points and stress distribution changes of the generated unit element shape, analyzes the influence of verification rules on stability and optimizes the verification index, changing the traditional fixed index verification mode. By adjusting the index balance, the structural stability of the unit element can be more comprehensively evaluated, reducing the safety hazards caused by insufficient single index verification, and ensuring that the generated unit element meets the shape requirements while having more reliable structural performance.

[0052] The error correction module extracts the size deviation rate and shape offset in real time, dynamically adjusts the generation path and parameter matching ratio, solving the hysteresis problem of traditional static correction method. This dynamic adjustment can correct the deviation in time during the generation of unit elements, ensure that the size and shape of the unit element are within the assembly adaptation range, reduce the assembly difficulty caused by excessive deviation, and improve the smoothness of the overall assembly of the curtain wall.

[0053] The data correlation module analyzes the correlation ratio and generation time of design parameters and construction data, generates a data correlation record table, and breaks down the barriers between design and construction data. By adjusting the correlation path parameters, the design parameters and construction data form a closer relationship, making it easier to trace the entire process data of the unit element from design to construction, reducing construction problems caused by data disconnection, and improving the collaboration of curtain wall unit element design and construction. BRIEF DESCRIPTION OF DRAWINGS

[0054] Figure 1 The working principle diagram of the curtain wall unit element rapid generation verification system based on parameterized design described in the present application;

[0055] Figure 2 The flowchart for obtaining the parameter input processing data set;

[0056] Figure 3 A flowchart for obtaining stress point and stress distribution change amount of the curtain wall unit structure;

[0057] Figure 4 A flowchart for obtaining the structure verification optimization parameter set;

[0058] Figure 5 A flowchart for obtaining the error correction adjustment data set. DETAILED DESCRIPTION

[0059] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0060] Please refer to Figures 1-5 The present application provides a curtain wall unit rapid generation verification system based on parameterized design, which comprises:

[0061] The parameter input processing module calls unit element size constraint parameters, building facade shape feature and parameter correlation rule data according to curtain wall design basic parameter information, analyzes parameter input integrity and design rule matching degree, sorts parameter input specification set and correlation mapping relationship, and generates parameter input processing data set;

[0062] The unit element generation module extracts curtain wall unit element geometric composition elements and shape generation logic based on the parameter input processing data set, analyzes the influence of parameter mapping on unit element shape, adjusts geometric element combination mode and generation path distribution proportion, redefines unit element shape generation trend and dynamic characteristic value, and generates unit element shape generation result;

[0063] The structure verification module extracts curtain wall unit element structure stress point and stress distribution change amount based on the unit element shape generation result, analyzes the influence of structure verification rule on stability, adjusts unit element structure verification index balance, and generates structure verification optimization parameter set;

[0064] The error correction module extracts real-time size deviation rate and shape offset amount in the curtain wall unit element generation process based on the structure verification optimization parameter set, analyzes the influence of deviation range on unit element assembly adaptability, dynamically adjusts shape generation path and parameter matching ratio within the target range, and generates error correction adjustment data set;

[0065] The data association module adjusts the data set based on error correction, analyzes the association proportion and generation time of the curtain wall unit element design parameters and construction data, adjusts the parameters of the target association path, and generates a curtain wall unit element data association record table.

[0066] Embodiment 1

[0067] In the process of obtaining the parameter input integrity and the matching degree of the design rules, the unit element size constraint parameters, the morphological feature data, and the association rule data are extracted from the curtain wall design basic parameter information. In this process, all types of basic parameters related to the design of the curtain wall unit element need to be covered, including but not limited to size constraint parameters such as the length, width, and thickness of the unit element, morphological feature data such as the curvature of the building facade and the inclination angle, and association rule data such as the association logic between parameters and the value range limit. Then, a data filtering window is set. The setting of the window needs to be combined with the parameter characteristics of the specific design scenario to clearly define the dimensions and range of the filtering, for example, different filtering intervals are set for size 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 be able to reflect the parameter matching patterns under different design conditions. By comparing the parameter association and performing effectiveness screening, specifically, the mutual influence relationship between parameters is analyzed, and those parameters with no association or low association degree are excluded, and the parameters with actual significance to the design are retained, thereby obtaining the parameter input integrity data and the design rule data.

[0068] Based on the obtained parameter input integrity data and design rule data, the association path is matched and verified. The association path refers to the transmission and influence path formed between parameters according to the design rules. In the matching and verification process, the parameters on each path need to be checked one by one to see if they meet the requirements of the design rules. The difference between the parameter input and the rule requirement can be calculated by numerical calculation to obtain the specific difference value, for example, the difference between the input value of a certain size parameter and the standard value required by the rule. The parameter input distribution and the rule matching distribution are adjusted according to the morphological feature changes, that is, when the morphological feature changes, such as the building facade changing from a plane to a curved surface, the parameter input distribution and the rule matching distribution also need to be adjusted to adapt to the new morphological feature. Through the influence of morphological features on data, the path parameters are adjusted, for example, under the curved surface morphology, the association strength and influence range of parameters are different from those under the plane morphology, and the parameter values on the path need to be adjusted accordingly, and then the parameter input and rule matching are obtained.

[0069] Based on the parameter input and rule matching, integrity analysis is performed. Set the integrity analysis standard, which needs to clarify the range that the parameter input should cover, the mandatory and optional items of each parameter, etc., while considering the dynamic change requirements in the design process, such as the advancement of the design stage may lead to changes in parameter requirements. Evaluate the parameter distribution under different morphological feature conditions, that is, analyze whether the distribution of each parameter is reasonable and can meet the design requirements under different architectural facade morphological features. Compare the integrity indicators, including the coverage rate of parameters and the missing rate of mandatory parameters, etc. By comparing the indicators under different conditions, optimize the morphological feature conditions, for example, when the parameter integrity indicators under a certain morphological feature are low, adjust the description and constraints of the morphological feature. Finally, the parameter input integrity and the matching degree of design rules are obtained.

[0070] During the acquisition process of the parameter input processing data set, based on the parameter input integrity and design rule matching degree obtained above, the parameter transmission and integrity change of the system under different design conditions are analyzed. Different design conditions include different building types, structural forms, climate regions, etc. Under these different conditions, the transmission efficiency, transmission path of parameters in the system and the integrity of parameters will show different characteristics. Weighted calculation is performed on the parameter input distribution, and the basis for weighting is the importance of parameters in design. Parameters with high importance are given higher weights. Through weighted calculation, the overall situation of parameter input is comprehensively evaluated, and the preliminary parameter processing requirements of the system are obtained.

[0071] Based on the preliminary parameter processing requirements of the system, the parameter balance in the system is analyzed. Parameter balance refers to whether the proportional relationship between parameters in the system is coordinated, or whether some parameters are excessively concentrated while others are ignored. Identify the parameter transmission efficiency and constraint allocation relationship in the system, that is, analyze the transmission speed and accuracy of parameters between modules in the system, and whether the allocation of constraint conditions between parameters is reasonable. Modify the parameter processing parameters, which needs to combine the parameter balance and transmission efficiency, constraint allocation relationship, for example, when the transmission efficiency of a parameter is low, adjust the processing priority or processing method of the parameter.

[0072] Based on the parameter processing data set and integrity matching results in the system, the parameters in the system are allocated. When allocating, the processing requirements and correlation of each parameter need to be considered to ensure that the parameters can be reasonably allocated to the corresponding processing module or processing link. Optimize and match the required correlation and integrity requirements, that is, adjust the correlation between parameters to make the correlation of parameters meet the design rules, while ensuring the integrity of parameters to meet the design standards. Through the above process, the parameter input processing data set is finally obtained, which contains various parameter information after processing, optimization and matching, providing basic data support for subsequent unit element generation and other modules.

[0073] Example 2

[0074] In the process of obtaining the stress point and stress distribution variation of the curtain wall unit structure, based on the parameter input processing data set, the morphological data of the curtain wall unit structure is extracted. These morphological data cover information related to the structure morphology, such as the geometric shape of the unit element, the relative position relationship of each component, surface curvature, etc. The morphological feature points in each time period are screened, and the division of time periods can be determined according to the stages in the design process or the key nodes of the structural morphology change, and the morphological feature points refer to the points that can reflect the core features of the unit element structure morphology in this time period, such as corner points, curved surface vertices, etc. Combined with the differentiated position morphology change trend of the unit element, the differentiated positions include different regions of the unit element such as edges, centers, and connection parts, the morphological change trend of these positions in different time periods is analyzed, such as whether deformation, displacement, etc. occurs, and then the morphological volatility is analyzed. 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.

[0075] Based on the obtained morphological data of the curtain wall unit structure, the force value of each morphological feature point is calculated. The calculation of the force value needs to be combined with factors such as the material properties of the unit element and the external load conditions, and the size and direction of the force borne by each morphological feature point are determined through structural mechanics analysis method. By analyzing the relationship between morphology and force, the influence of the morphological change of the unit element on the force distribution is explored, for example, a certain curved surface morphology may cause the force in a specific area to increase. The force variation of each measurement point is identified, that is, the difference in force value of the same measurement point under different states (such as before and after the load changes) is compared. Combined with the unit structure parameters such as the elastic modulus of the material and the cross-sectional size, the force variation of the differentiated positions is compared, and the force distribution and stress distribution data are obtained, which can clearly reflect the force size and stress distribution state of each part of the unit element.

[0076] Based on the 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 element as a whole. Combined with the morphological data, the stress gradient is optimized, which reflects the change rate of stress in different parts of the unit element. By adjusting the morphological data, such as changing the local geometric shape, the stress gradient is made more reasonable. The influence of force variation on the performance of the unit element is analyzed, including the load-carrying capacity and durability of the unit element. The stable force configuration under differentiated design conditions is determined, including different external environments and use requirements, and the stable force configuration refers to the force state that can ensure the stability of the unit structure under these conditions, and finally the stress point and stress distribution variation of the curtain wall unit structure are obtained.

[0077] In the process of obtaining the structure verification optimization parameter set, based on the obtained stress points and stress distribution change amount of the curtain wall unit element structure, the time sequence of stress change is determined. The determination of the time sequence needs to record the stress state at different time points according to the order of stress change. By comparing the current stress value with the original stress data, the original stress data can be used as the baseline data at the initial design stage. By comparing the difference between the two, the stress change can be understood. The stress gradient at each moment is analyzed to determine the change rate and direction of the stress at different time points. According to the definition of the corresponding threshold value of the unit element state partition, the unit element state partition can be divided according to the function partition, stress characteristics and other factors of the structure. Different stress threshold values are defined for each partition according to its importance and bearing requirements. If the threshold value is exceeded, it may indicate that there is a risk of structural instability, and then a preliminary stress change parameter set is generated.

[0078] The preliminary stress change parameter set is analyzed, focusing on the influence of the stress in the unit element on the stability of the structure verification. This process needs to investigate whether the unit element structure can remain stable under different stress states, whether there are signs of instability such as excessive deformation and fracture. The correlation between stress and verification results is identified, i.e. to determine which changes in stress parameters will have a significant impact on the structure verification results. By analyzing the stability influence relationship of the section, which refers to the part of the unit element structure with similar stress characteristics or functions, the way and degree of mutual influence of the stability of different sections are understood. Combined with the unit element stress change parameters, the balance of the structure verification index is adjusted, so that each verification index (such as strength, stiffness, stability, etc.) occupies a reasonable proportion in the evaluation. The verification data is optimized, invalid or interfering data is removed, and data that can truly reflect the structure state is retained, and finally a structure verification optimization parameter set is generated, which can provide more accurate and effective parameter support for structure verification.

[0079] Example 3

[0080] In the process of obtaining the unit element form generation result, the structure verification optimized parameter set is based on the extraction of the unit element surface form generation data. These data cover the geometric coordinates, curvature changes, boundary profiles and other information related to form generation on the unit element surface. The generation rate of the form under the differentiated design conditions is monitored, which involves the orientation, height, and surrounding environment restrictions of the building facade, and the generation rate is embodied in the amount of change of the form features per unit time, such as the area growth rate of surface unfolding and the angle change speed of corner formation. The expansion characteristics of the form are inferred in combination with the external demand factors of time and function, including design cycle, construction schedule requirements, etc., and functional factors including lighting requirements, wind resistance requirements, etc. The expansion characteristics include the tendency of the form to extend in a certain direction and the form change law in the expansion process. The generation and expansion rate coefficients are defined, which reflect the speed of form generation and the strength of form expansion trend. Based on the above monitoring and inference results, the specific values of the two coefficients are determined, and the generation and expansion dynamic parameter set is generated.

[0081] The influence of the generation and expansion dynamic parameter set on the form flow rate and distribution is analyzed. The form flow rate refers to the change speed of the form features in the generation process, and the form distribution refers to the distribution of different form features on the unit element surface. According to the requirements of the unit element surface form distribution, such as the need for smoother transition in some areas and specific concave-convex structure in some areas, the ratio between the generation path and the form input rate is optimized. The generation path refers to the trajectory followed in the form generation process, and the form input rate refers to the speed of parameter data input for form generation. By adjusting the ratio of the two, the form generation can meet both the path planning and the rate requirements. The form distribution control result is analyzed, that is, whether the form distribution after optimization meets the expected requirements. Adjust the ratio relationship between the form input rate and the generation path. If the form distribution in a certain area in the control result is too dense or sparse, the corresponding form input rate of the area should be increased or decreased, or the direction of the generation path should be adjusted. Allocate the generation trend of the form, and clarify the form generation direction and development focus of different areas. In combination with the generation and expansion parameters and the adjustment relationship, the generation and expansion parameters include the aforementioned generation and expansion rate coefficients, and the adjustment relationship refers to the mutual influence and constraint relationship between parameters. By comprehensively considering these factors, the unit element form generation result is obtained.

[0082] 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.

[0083] 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.

[0084] In the above process, the adaptation rate can be calculated using the following formula:

[0085]

[0086] 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.

[0087] 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.

[0088] Example 4

[0089] 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.

[0090] 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.

[0091] Based on the target association path parameters, the association conditions are adjusted according to the current operation parameters, which include real-time design progress parameters, construction progress parameters, etc. The variable relationship of association time, range, and parameter matching is controlled, that is, how these factors interact and change in the association process is determined. Real-time association is performed according to the adjusted parameters. Real-time association refers to dynamically establishing the association between design parameters and construction data during the design and construction process. Finally, the curtain wall unit element data association record table is obtained. This record table records the correspondence between design parameters and construction data at different time points and under different association paths.

[0092] In the extraction process of unit element geometric composition elements and form generation logic, the parameter input processing data set is based on the key elements in the curtain wall design basic parameters. The curtain wall design basic parameters include building height, facade area, wind pressure load, etc. The key elements refer to the parameters that play a major role in the geometric composition and form generation of unit elements, such as size parameters that determine the basic outline of unit elements, curvature parameters that affect the surface form of unit elements, etc. Combined with the architectural facade form characteristics and parameter association rules, such as whether the facade is curved, whether there are concave and convex changes, etc., and the matching rules of size parameters and material parameters, the association rules of form parameters and load parameters, etc., the core dimensions and auxiliary dimensions of unit element geometric composition are identified. The core dimensions include length, width, thickness, etc. which determine the basic form of unit elements, and the auxiliary dimensions include chamfer radius, surface texture, etc. which modify the form.

[0093] The trigger conditions and constraint boundaries of the form generation logic are analyzed. The trigger conditions refer to the conditions that start a specific form generation method, such as triggering the generation logic of curved surface unit elements when the facade is curved. The constraint boundaries refer to the limiting conditions that need to be followed in the form generation process, such as the maximum size of unit elements cannot exceed the transportation limit. By comparing the element distribution of historical design cases, such as curtain wall unit element design of the same type of building and curtain wall unit element design in different climate zones, the distribution rules of geometric composition elements and the application of form generation logic in these cases are observed. Typical geometric composition elements and form generation logic are extracted.

[0094] The geometric composition elements and form generation logic are verified to check whether the extracted elements and logic meet the basic requirements of the current design. The element weight and logic priority are adjusted according to the current design requirements. The element weight reflects the importance of different geometric composition elements in form generation, and the logic priority reflects the application order of different form generation logics, such as giving priority to the generation logic of aesthetics under the premise of meeting the structural requirements. Redundant elements that do not meet the current project are eliminated, and missing association logic is supplemented. Missing association logic refers to the logic that is not included in the current extracted logic but is necessary for the design. Finally, the unit element geometric composition elements and form generation logic are obtained.

[0095] Example 5

[0096] In the analysis process of the influence of the structure verification rules on stability, based on the unit element form generation results, the stability indicators and evaluation criteria in the structure verification rules are extracted. The unit element form generation results include three-dimensional model data, geometric parameter sets, form feature descriptions, and other contents of the unit element. The structure verification rules cover various provisions and criteria related to the stability of the curtain wall unit element structure, among which the stability indicators involve wind pressure resistance performance indicators, seismic performance indicators, deformation resistance performance indicators, and the evaluation criteria include the allowable range of each indicator, test methods, judgment conditions, and other contents. For example, the wind pressure resistance performance indicator may involve the maximum displacement of the unit element under the action of a specific wind pressure value, and the evaluation criteria specify the upper limit value of the displacement and the corresponding test environment requirements.

[0097] The influence weight of each indicator on stability is analyzed in combination with the stress points of the curtain wall unit element structure and the stress distribution change amount. The stress points of the curtain wall unit element structure include the connection points of the unit element and the main structure, the load-bearing nodes of the unit element itself, and the weak points susceptible to external force impact, and the stress distribution change amount reflects the changes in the stress size and distribution of these stress points and the surrounding areas under different loads. When analyzing the influence weight, the correlation degree between each stability indicator and the stress state of the stress point and the stress distribution change needs to be investigated. For example, the deformation resistance performance indicator is closely related to the stress change amount of the key connection point of the unit element. When the value of this indicator deviates from the evaluation criteria, it may directly lead to stress concentration at the connection point, thereby affecting the overall stability, so its influence weight is relatively high. Some auxiliary indicators related to surface flatness, although they have an impact on the appearance, have a weak correlation with structural stability, and the influence weight is relatively low.

[0098] By simulating the response data of different form unit elements under typical stress conditions, including strong wind load, seismic load, and internal force caused by temperature changes, and different form unit elements covering planar unit elements, curved unit elements, and irregular unit elements, and other types, the response data of the unit elements under various stress conditions, such as displacement change, stress distribution, and connection node state, are recorded during the simulation process. The matching degree of each indicator in the verification rules is compared, i.e., whether the response data of different form unit elements meets the evaluation criteria of each stability indicator, for example, whether the displacement of a certain curved unit element under strong wind load is within the allowable range of the wind pressure resistance performance indicator, and whether the stress value of the key node meets the requirements of the seismic performance indicator.

[0099] The key rule items and the secondary rule items are identified, the key rule items refer to the rule contents that have a decisive effect on the structural stability of the unit element, such as the indexes and evaluation criteria related to the strength of the load-bearing node; the secondary rule items refer to the rule contents that have a relatively small effect on the stability, such as the indexes related to the surface decorative details. The rule adjustment direction and the optimization priority are determined, the rule adjustment direction is determined according to the matching of the indexes in the simulation results, for example, when the response data of a certain form of unit element under the seismic load frequently exceeds the seismic performance index, the evaluation criteria or the related test method of the index needs to be adjusted; the optimization priority is sorted according to the importance of the rule items, the adjustment of the key rule items is processed first, and then the optimization of the secondary rule items is considered. Through the above process, the influence analysis result of the structural verification rules on the stability is obtained, which clearly presents the specific influence of different verification rule items on the structural stability of the unit element under various conditions.

[0100] It should be noted that the relational terms herein such as first and second and the like are used solely to distinguish one entity or action from another, without necessarily requiring or implying any such actual relationship or order between such entities or actions. Moreover, the terms "comprises", "comprising", or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can include other elements not expressly listed or inherent to such process, method, article, or apparatus.

[0101] Although the embodiments of the present application have been shown and described, it is to be understood that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present application, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A curtain wall unit rapid generation verification system based on parameterized design, characterized in that, The system comprises: The parameter input processing module calls the unit element size constraint parameters, building facade form feature and parameter correlation rule data according to the curtain wall design basic parameter information, analyzes the parameter input integrity and the design rule matching degree, sorts out the parameter input specification set and the correlation mapping relationship, and generates the parameter input processing data set; The unit element generation module extracts the curtain wall unit element geometric composition elements and form generation logic based on the parameter input processing data set, analyzes the influence of parameter mapping on the unit element form, adjusts the geometric element combination mode and generation path distribution proportion, redefines the generation trend and dynamic characteristic value of the unit element form, and generates the unit element form generation result; The structure verification module extracts the curtain wall unit element structure stress points and stress distribution change based on the unit element form generation result, analyzes the influence of the structure verification rule on the stability, adjusts the balance of the unit element structure verification index, and generates the structure verification optimization parameter set; The error correction module extracts the real-time size deviation rate and form offset in the curtain wall unit element generation process based on the structure verification optimization parameter set, analyzes the influence of the deviation range on the unit element assembly adaptability, dynamically adjusts the form generation path and parameter matching ratio in the target range, and generates the error correction adjustment data set; The data correlation module analyzes the correlation proportion and generation time of the curtain wall unit element design parameters and construction data based on the error correction adjustment data set, adjusts the parameters of the target correlation path, and generates the curtain wall unit element data correlation record table.

2. The parametric design based curtain wall unit quick generation verification system according to claim 1, wherein, The parameter input integrity and the design rule matching degree are obtained by: According to the curtain wall design basic parameter information, the unit element size constraint parameters, form feature data and correlation rule data are extracted, the data filtering window is set, the typical parameter matching sample is selected, the parameter correlation is compared and the effectiveness is filtered, and the parameter input integrity data and the design rule data are obtained; Based on the parameter input integrity data and the design rule data, the correlation path is matched and verified, the difference between the parameter input and the rule requirement is calculated, the parameter input distribution and the rule matching distribution are corrected combined with the form feature change, the path parameters are adjusted through the influence of the form feature on the data, and the parameter input and the rule matching condition are obtained; Based on the parameter input and the rule matching condition, the integrity analysis is performed, the integrity analysis standard is set, the parameter distribution under the condition of differentiating form feature is evaluated combined with the dynamic change demand of design, the integrity index is compared and the form feature condition is optimized, and the parameter input integrity and the design rule matching degree are obtained.

3. The parametric design based curtain wall unit quick generation verification system according to claim 2, wherein, The parameter input processing data set is obtained by: Based on the parameter input integrity and the design rule matching degree, the parameter transmission and integrity change of the system under the condition of differentiating design are analyzed, and the parameter input distribution is weighted calculated, and the preliminary parameter processing demand of the system is obtained; Based on the preliminary parameter processing demand of the system, the parameter balance in the system is analyzed, the parameter transmission efficiency and constraint allocation relationship in the system are identified, and the parameter processing parameters are corrected; The parameter in the system is allocated, the required correlation and integrity requirement is optimized and matched, and the parameter input processing data set is obtained by combining the parameter processing data set in the system with the integrity matching result.

4. The parametric design based curtain wall unit quick generation verification system according to claim 3, wherein, The stress distribution change amount of the curtain wall unit structure is obtained by: Based on the parameter input processing data set, the shape data of the curtain wall unit structure is extracted, the shape feature points in each time period are screened, the shape fluctuation is analyzed combined with the position difference of the unit element, and the shape data of the curtain wall unit structure is obtained. Based on the shape data of the curtain wall unit structure, the stress change amount of each measurement point is identified by analyzing the relationship between shape and stress, and the stress distribution data is obtained by comparing the stress change of the differential position combined with the unit structure parameter. Based on the stress distribution and stress distribution data, the overall stress distribution of the curtain wall unit structure is analyzed, the stress gradient is optimized combined with the shape data, the influence of stress change on the performance of the unit element is analyzed, the stable stress configuration under the condition of differential design is determined, and the stress distribution change amount of the curtain wall unit structure is obtained.

5. The parametric design based curtain wall unit quick generation verification system according to claim 4, wherein, The structure verification optimization parameter set is obtained by: Based on the stress distribution change amount of the curtain wall unit structure, the time sequence of the stress change is determined, the current stress value is compared with the original stress data, the stress gradient at each moment is analyzed, and the corresponding threshold value is defined according to the unit element state partition, and the preliminary stress change parameter set is generated. The preliminary stress change parameter set is analyzed, the influence of the stress in the unit element on the stability of the structure verification is analyzed, and the correlation between the stress and the verification result is identified. By analyzing the stability influence relationship of the unit element state partition, the structure verification index balance is adjusted combined with the unit element stress change parameter, the verification data is optimized, and the structure verification optimization parameter set is generated.

6. The parametric design based curtain wall unit quick generation verification system according to claim 5, wherein, The unit element shape generation result is obtained by: Based on the structure verification optimization parameter set, the shape generation data of the unit element surface is extracted, the generation rate of the shape under the condition of differential design is monitored, the expansion characteristics of the shape are inferred combined with the external demand factors of time and function, the generation and expansion rate coefficient is defined, and the expansion dynamic parameter set is generated. The influence of the generation and expansion dynamic parameter set on the shape flow rate and distribution is analyzed, and the proportion between the generation path and the shape input rate is optimized according to the demand of the unit element surface shape distribution. The proportion relationship between the shape input rate and the generation path is adjusted by analyzing the shape distribution regulation result, the generation trend of the shape is allocated, and the unit element shape generation result is obtained combined with the generation expansion parameter and the adjustment relationship.

7. The parametric design based curtain wall unit quick generation verification system according to claim 6, wherein, The error correction adjustment data set is obtained by: Based on the unit element shape generation result, the size fluctuation rate and shape offset amount in the real-time generation process of the system are monitored, the deviation range is identified, the system abnormal value is eliminated, the average deviation rate of the data is analyzed, and the size and shape deviation data are obtained. Analyze the influence of the size and shape deviation range on the unit element assembly adaptability, analyze the relationship between the shape and size by using the known unit element adaptability standard, and calculate the adaptability rate under the differentiated deviation range; According to the adaptability rate, dynamically adjust the shape generation path and parameter matching ratio in the target range, adjust according to the relationship between the adaptability rate influence data and the size and shape deviation range, allocate the shape flow rate and size control range, and generate the error correction adjustment data set.

8. The parametric design based curtain wall unit quick generation verification system according to claim 7, wherein, The obtaining step of the curtain wall unit element data association record table is specifically: Based on the error correction adjustment data set, perform curtain wall unit element design parameter and construction data association and generation time analysis, collect associated concentration data at differentiated generation time points, arrange data time distribution, analyze association change trend and classify data, and obtain curtain wall unit element data association data; Based on the target association path parameter, analyze the optimal association time and concentration distribution of data, compare the concentration change under differentiated association conditions, adjust the operation conditions of association time, range, and parameter matching, and obtain the target association path parameter; Based on the target association path parameter, adjust the association conditions according to the current operation parameters, control the variable relationship of association time, range, and parameter matching, perform real-time association according to the adjusted parameters, and obtain the curtain wall unit element data association record table.

9. The parametric design based curtain wall unit quick generation verification system according to claim 8, wherein, The extraction step of the unit element geometric composition elements and shape generation logic is specifically: Based on the parameter input processing data set, screen the key elements in the curtain wall design basic parameters, identify the core dimension and auxiliary dimension of the unit element geometric composition according to the building facade shape characteristics and parameter association rules, analyze the trigger conditions and constraint boundaries of the shape generation logic, and extract the typical geometric composition elements and shape generation logic by comparing the element distribution of historical design cases; Verify the geometric composition elements and shape generation logic, adjust the element weight and logic priority according to the current design requirements, eliminate redundant elements that do not meet the current project, supplement the missing association logic, and obtain the unit element geometric composition elements and shape generation logic.

10. The parametric design based curtain wall unit quick generation verification system of claim 9, wherein, The influence analysis step of the structure verification rule on stability is specifically: Based on the unit element shape generation result, extract the stability index and evaluation standard in the structure verification rule, analyze the influence weight of each index on stability by combining the stress distribution change of the stress points and stress distribution of the curtain wall unit element structure; By simulating the response data of different shape unit elements under typical stress conditions, comparing the matching degree of each index in the verification rule, identifying the key rule items and secondary rule items that affect stability, determining the rule adjustment direction and optimization priority, and obtaining the influence analysis result of the structure verification rule on stability.

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