Railway bridge hanging basket structure modeling method and system

Abstract

The invention provides a railway bridge hanging basket structure modeling method and system, and relates to the technical field of hanging basket construction.The modeling method comprises the steps that key parameters of hanging basket design are obtained; generating a three-dimensional geometric model according to the key parameters and a hanging basket special component library corresponding to the hanging basket type; performing dynamic simulation of different construction checking calculation stages on the three-dimensional geometric model to obtain a stress evaluation result; adjusting and updating the three-dimensional geometric model according to a stress evaluation result to generate an adaptive model; drawing lightweight identification and drawing labeling processing are carried out on the adaptive model, and a model modeling drawing is obtained; component identification and calculation quantity statistics are carried out according to the adaptive model, and a calculation quantity report is generated; and storing the adaptive model, the model modeling drawing and the calculation quantity report in a knowledge base. According to the method and the system provided by the invention, the accuracy of the hanging basket structure can be improved, the drawing efficiency and the calculation accuracy are ensured, and meanwhile, the design preparation time of other similar hanging basket construction can be shortened.

Description

Technical Field

[0001] This invention relates to the field of hanging basket construction technology, and in particular to a method and system for modeling hanging basket structures for railway bridges. Background Technology

[0002] Hanging basket construction, also known as construction formwork, is a key piece of equipment used in the segmented construction of prestressed concrete continuous beams, T-shaped steel structures, and cantilever beams. It can move forward as a whole along a track. Hanging basket construction can employ techniques such as truss-type hanging baskets, triangular hanging baskets, prismatic hanging baskets, and cable-stayed hanging baskets. Hanging basket construction is most widely used in bridge construction.

[0003] In the current design process of railway bridge hanging basket structure models, the efficiency of manual step-by-step modeling is slow. Although the generated hanging basket structure model can achieve visualization of the model structure, it cannot effectively complete the verification of stress parameters at each stage of hanging basket construction. As a result, the hanging basket structure model cannot truly reflect the actual stress situation of the hanging basket structure during actual construction, leading to the failure of the hanging basket structure design and thus affecting the overall railway bridge construction progress. Summary of the Invention

[0004] This invention provides a method and system for modeling railway bridge hanging basket structures, which solves the technical problem that existing technologies rely solely on manual step-by-step modeling, which is slow and, while generating a hanging basket structure model, cannot effectively verify the stress parameters at each stage of hanging basket construction. As a result, the hanging basket structure model cannot truly reflect the actual stress situation of the hanging basket structure during actual construction, leading to the failure of the hanging basket structure design.

[0005] To achieve the above and other related objectives, this invention provides a method for modeling a railway bridge hanging basket structure, comprising: acquiring key parameters of the hanging basket design; generating a three-dimensional geometric model based on the key parameters and a dedicated component library corresponding to the hanging basket type; performing dynamic simulations on the three-dimensional geometric model at different construction verification stages to obtain stress assessment results; adjusting and updating the three-dimensional geometric model based on the stress assessment results to generate an adaptive model; performing lightweight identification and annotation processing on the adaptive model to obtain modeling drawings; performing component identification and quantity calculation based on the adaptive model to generate a quantity calculation report; and storing the adaptive model, modeling drawings, and quantity calculation report in a knowledge base to complete the modeling of the hanging basket structure.

[0006] In one embodiment of the present invention, a three-dimensional geometric model is generated based on key parameters and a dedicated component library for hanging baskets corresponding to different hanging basket types. This includes: retrieving the corresponding dedicated component library for hanging baskets based on the hanging basket type, the library comprising multiple dedicated hanging basket components corresponding to the hanging basket type; performing parameter type coverage detection on the component parameters of each dedicated hanging basket component in the dedicated component library using the key parameters; when the parameter types of all key parameters exist in the component parameters of at least one dedicated hanging basket component, then comprehensively comparing the first parameter value corresponding to the key parameter with the second parameter value corresponding to the dedicated hanging basket component to obtain a comprehensive similarity score; selecting comprehensive similarity scores greater than a similarity threshold to form a comprehensive similarity score set; using the dedicated hanging basket component corresponding to the largest comprehensive similarity score in the comprehensive similarity score set as the target dedicated hanging basket component corresponding to the key parameter; adjusting the target dedicated hanging basket component according to the key parameters to obtain the hanging basket design component; and generating a three-dimensional geometric model based on all the hanging basket design components.

[0007] In one embodiment of the present invention, dynamic simulation of a three-dimensional geometric model at different construction verification stages is performed to obtain stress assessment results. This includes: selecting components from the three-dimensional geometric model according to the construction verification stage to obtain construction simulation components, where each construction simulation component is a component in the three-dimensional geometric model that affects the corresponding construction verification stage; performing simulation optimization on some construction simulation components according to the construction verification stage to generate optimized simulation components; combining the construction simulation components and optimized simulation components to form a stage model combination; and performing dynamic simulation using the stage model combination to obtain stress assessment results.

[0008] In one embodiment of the present invention, the construction verification stage includes an unloaded stage, a pouring stage, a walking stage, and a demolition stage; based on the construction verification stage, some construction simulation components are simulated and optimized to generate optimized simulation components, including: obtaining corresponding optimization features based on the construction verification stage; generating optimization feature parameters based on the inventory component data corresponding to the optimization features; and adding the optimization features and corresponding optimization feature parameters to some construction simulation components to generate optimized simulation components.

[0009] In one embodiment of the present invention, generating optimized feature parameters based on inventory component data corresponding to optimized features includes: obtaining feature parameter losses based on usage data and storage data of inventory components corresponding to optimized features in the inventory component data; the storage data includes the parameter loss rate per unit time and the storage time; the usage data includes the number of uses, the purpose of each use, and the parameter loss amount corresponding to the purpose of use; generating optimized feature parameters based on standard feature parameters and feature parameter losses corresponding to optimized features; the calculation formula for optimized feature parameters is: ;in, This indicates the optimization of feature parameters. Represents standard characteristic parameters, This represents the rate of parameter loss per unit time. Indicates the storage time. Indicates the number of times it is used. Indicates the amount of parameter loss. Indicates the factors influencing the characteristics.

[0010] In one embodiment of the present invention, adjusting and updating the three-dimensional geometric model based on the stress assessment results to generate an adaptive model includes: calculating the difference between the stress assessment results and the benchmark stress limit corresponding to the construction verification stage to obtain a stress difference; comparing the stress difference with a difference threshold, and taking stress differences greater than the difference threshold as abnormal stress differences; forming a stress anomalous region based on the location points corresponding to the abnormal stress differences; comparing the similarity between the stress anomalous region and the abnormal stress differences at each location point within the stress anomalous region with the benchmark abnormal stress differences at each location point within the benchmark abnormal region in the abnormality repository to obtain a set of similarity values; selecting the maximum similarity value in the set of similarity values, and obtaining the hanging basket-specific component corresponding to the benchmark abnormal region based on the benchmark abnormal region corresponding to the maximum similarity value, as the component to be adjusted corresponding to the stress anomalous region, wherein the benchmark abnormal region corresponds to the hanging basket-specific component; generating adjustment values ​​for the component parameters based on the maximum similarity value and the component parameters corresponding to the component to be adjusted; and adjusting and updating the component parameters in the three-dimensional geometric model based on the adjustment values ​​to generate an adaptive model.

[0011] In one embodiment of the present invention, the adaptation model is subjected to lightweight identification and icon annotation processing to obtain model modeling drawings, including: obtaining line density limits by looking up a table according to the drawing specifications; performing screenshot detection on the drawing perspective of the adaptation model according to the line density limits to divide the drawing perspective into a clear display area and a blurred display area; performing lightweight processing on the line linearity of the blurred display area and icon annotation processing on the clear display area to obtain model modeling drawings.

[0012] In one embodiment of the present invention, a screenshot detection is performed on the output view of the adapted model according to a line density limit, so as to divide the output view into a clear display area and a blurred display area. This includes: scaling and screenshotting the output view of the adapted model in the drawing template according to the drawing specifications to obtain an adjusted view; obtaining the minimum detection size corresponding to the screenshot detection frame according to the line density limit; generating a corresponding screenshot detection frame according to the minimum detection size; performing screenshot linearity detection on the adjusted view based on the screenshot detection frame; when at least one continuous line exists in the screenshot detection frame and the lines between the continuous lines form a linearity detection function, the detection is performed on the adjusted view. When the linear relationship is dispersed, the first region corresponding to the screenshot detection box is marked as a blurred display partition, and the continuous region composed of the blurred display partitions is taken as the blurred display area. The dispersed relationship includes one of the linear relationship where there is at least one intersection point of continuous lines in the screenshot detection box and the linear relationship where there is no intersection point of continuous lines in the screenshot detection box. When there are no continuous lines, only one continuous line, or multiple continuous lines focused on one intersection point in the screenshot detection box, the second region corresponding to the screenshot detection box is marked as a clear display partition, and the continuous region composed of the clear display partitions is taken as the clear display area.

[0013] In one embodiment of the present invention, the adaptation model, modeling drawings, and quantity calculation reports are stored in a knowledge base to complete the modeling of the hanging basket structure. This includes: comparing the geographic information corresponding to the adaptation model with the baseline geographic information to obtain geographic differences, which serve as a first entity part; comparing the adaptation model with the baseline model, comparing the modeling drawings with the baseline drawings, and comparing the quantity calculation reports with the baseline reports to obtain difference data between the adaptation model and the baseline model, the modeling drawings and the baseline drawings, and the quantity calculation reports and the baseline reports, which serve as a second entity part; establishing an association between the first entity part and the second entity part; obtaining a knowledge triple based on the first entity part, the second entity part, and the association; and storing the knowledge triple in a knowledge base to complete the modeling of the hanging basket structure.

[0014] To achieve the above and other related objectives, the present invention also provides a railway bridge hanging basket structure modeling system, comprising: an acquisition unit for acquiring key parameters of the hanging basket design; a model generation unit for generating a three-dimensional geometric model based on the key parameters and a dedicated component library corresponding to the hanging basket type; a dynamic simulation unit for performing dynamic simulations on the three-dimensional geometric model at different construction verification stages to obtain stress assessment results; an adjustment and update unit for adjusting and updating the three-dimensional geometric model based on the stress assessment results to generate an adaptive model; a drawing generation unit for performing lightweight drawing identification and drawing annotation processing on the adaptive model to obtain modeling drawings; a quantity calculation and statistics unit for performing component identification and quantity calculation statistics based on the adaptive model to generate quantity calculation reports; and a knowledge storage unit for storing the adaptive model, modeling drawings, and quantity calculation reports in a knowledge base to complete the modeling of the hanging basket structure.

[0015] The beneficial effects of this invention are as follows: This invention proposes a method and system for modeling railway bridge hanging basket structures. By utilizing key parameters in the initial design process of the hanging basket, and calling upon a dedicated component library corresponding to the hanging basket type, a three-dimensional geometric model corresponding to the hanging basket design is quickly generated in advance based on the mapping between the dedicated component library and the key parameters. After obtaining the three-dimensional geometric model, dynamic simulations can be performed on the model according to the construction verification stages corresponding to different construction phases. This allows for the evaluation of the stress assessment results corresponding to different construction verification stages, enabling adaptive adjustments to the three-dimensional geometric model based on the stress assessment results. This results in an updated, adapted model that meets the requirements of different construction verification stages. Based on this adapted model, the accuracy of the modeled drawings and the precision of quantity calculations can be guaranteed. Furthermore, when using the adaptable model to generate model-modeled drawings, lightweight identification and annotation processing can effectively reduce the size of lines in areas that cannot be clearly displayed based on the drawing specifications. This improves the efficiency of generating model-modeled drawings for different specifications. After the drawings and quantity calculations are completed, the adaptable model, model-modeled drawings, and quantity calculation reports can be stored in a knowledge base. This allows for the quick retrieval of compatible hanging basket structure models based on associated parameters, enhancing engineers' ability to find and reuse hanging basket structure models using relevant parameters. This, in turn, shortens the design preparation time for other similar hanging basket projects. Attached Figure Description

[0016] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application. It is obvious that the drawings described below are merely some embodiments of this application, and those skilled in the art can obtain other drawings based on these drawings without any inventive effort.

[0017] In the attached diagram: Figure 1 A flowchart illustrating the method for modeling a railway bridge hanging basket structure provided in an embodiment of the present invention.

[0018] Figure 2 The diagram shown is a structural block diagram of a railway bridge hanging basket structure modeling system provided in an embodiment of the present invention.

[0019] Figure 3 The diagram shown is a structural schematic of an electronic device according to an embodiment of the present invention.

[0020] The attached figures are labeled as follows: Electronic device 1; Railway bridge hanging basket structure modeling system 11; Memory 12; Processor 13; Acquisition unit 111; Model generation unit 112; Dynamic simulation unit 113; Adjustment and update unit 114; Drawing generation unit 115; Quantity calculation and statistics unit 116; Knowledge storage unit 117. Detailed Implementation

[0021] The following specific examples illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments. Various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.

[0022] It should be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of the present invention. The drawings only show the components related to the present invention and are not drawn according to the actual number, shape and size of the components in the actual implementation. In the actual implementation, the form, quantity and proportion of each component can be arbitrarily changed, and the layout of the components may also be more complex.

[0023] In the following description, numerous details are explored to provide a more thorough explanation of embodiments of the invention. However, it will be apparent to those skilled in the art that embodiments of the invention may be practiced without these specific details. In other embodiments, well-known structures and devices are shown in block diagram form rather than in detail to avoid obscuring embodiments of the invention.

[0024] This invention provides a method for modeling railway bridge hanging basket structures. By utilizing key parameters in the initial design process of the hanging basket, and calling upon a dedicated component library corresponding to the hanging basket type, a three-dimensional geometric model corresponding to the hanging basket design is quickly generated in advance based on the mapping between the dedicated component library and the key parameters. After obtaining the three-dimensional geometric model, dynamic simulations can be performed on the three-dimensional geometric model according to the construction verification stages corresponding to different construction phases. This allows for the evaluation of the stress assessment results corresponding to different construction verification stages, enabling adaptive adjustments to the three-dimensional geometric model based on the stress assessment results. This results in an updated, adapted model that meets the requirements of different construction verification stages. Based on this adapted model, the accuracy of the modeled drawings and the precision of quantity calculations can be guaranteed. Furthermore, when using the adaptable model to generate model-modeled drawings, lightweight identification and annotation processing can effectively reduce the size of lines in areas that cannot be clearly displayed based on the drawing specifications. This improves the efficiency of generating model-modeled drawings for different specifications. After the drawings and quantity calculations are completed, the adaptable model, model-modeled drawings, and quantity calculation reports can be stored in a knowledge base. This allows for the quick retrieval of compatible hanging basket structure models based on associated parameters, enhancing engineers' ability to find and reuse hanging basket structure models using relevant parameters. This, in turn, shortens the design preparation time for other similar hanging basket projects.

[0025] Figure 1 A flowchart illustrating a railway bridge hanging basket structure modeling method according to an exemplary embodiment of this application is shown. Applied to a railway bridge hanging basket structure modeling system, it includes steps S10-S70. The following will be combined with… Figure 1 The technical solution of this application will be described in detail below.

[0026] First, perform step S10 to obtain the key parameters of the hanging basket design.

[0027] When constructing a railway bridge hanging basket structure, the system first acquires the CAD drawing data of each hanging basket component during the design process. Then, it identifies the dimensional parameters of these components and performs checks on them to obtain key parameters used for model construction. These key parameters are then used to construct a 3D geometric model of the corresponding hanging basket type for stress analysis, model adjustment, drawing generation, quantity calculation, and data storage.

[0028] Next, step S20 is executed to generate a three-dimensional geometric model based on the key parameters and the dedicated component library for the hanging basket type.

[0029] In the process of pre-building a three-dimensional geometric model using the railway bridge hanging basket structure modeling system, the special component library of hanging baskets corresponding to the hanging basket type can be retrieved in advance. Then, based on the mapping relationship between key parameters, the appropriate special components of the hanging basket can be found to realize the rapid construction of the three-dimensional geometric model.

[0030] In step S20, a three-dimensional geometric model is generated based on the key parameters and the dedicated component library for the hanging basket type, which may further include: The corresponding hanging basket-specific component library is retrieved according to the hanging basket type. The hanging basket-specific component library includes multiple hanging basket-specific components corresponding to the hanging basket type. The key parameters are used to perform parameter type coverage detection on the component parameters of each hanging basket-specific component in the hanging basket-specific component library; When the parameter types of all key parameters exist in the component parameters of at least one hanging basket-specific component, the first parameter value corresponding to the key parameter is compared with the second parameter value corresponding to the hanging basket-specific component to obtain a comprehensive similarity score. Select the comprehensive similarity scores that are greater than the similarity threshold and form a comprehensive similarity score set; The hanging basket component corresponding to the maximum comprehensive similarity score in the comprehensive similarity score set is taken as the target hanging basket component corresponding to the key parameter; By adjusting the key parameters of the target hanging basket special components accordingly, the hanging basket design components are obtained; Generate a three-dimensional geometric model based on all the hanging basket design components.

[0031] The railway bridge hanging basket structure modeling system of this invention pre-stores multiple hanging basket type-specific component libraries, such as rhomboid hanging baskets and triangular hanging baskets. When building a three-dimensional geometric model, the corresponding hanging basket specific component library can be assigned according to the hanging basket type. Then, the key parameters are compared with the component parameters of each hanging basket specific component in the hanging basket specific component library to find hanging basket specific components where all key parameters exist simultaneously. That is, all key parameters belong to the same hanging basket specific component, and the component parameters of the hanging basket specific component include all key parameters. At this point, it means that the component parameters of the hanging basket specific component cover all key parameters. Then, all hanging basket specific components that satisfy the coverage are found, and the similarity comparison is performed between the first parameter value corresponding to the key parameter and the second parameter value corresponding to the hanging basket specific component to obtain a comprehensive similarity score between each parameter. For example, when the key parameter is a height parameter, the difference between the second parameter value of the hanging basket specific component that is also a height parameter is compared with the first parameter value of the key parameter. Of course, the key parameter can also be other parameters to obtain all differences, thereby determining the comprehensive similarity score. After obtaining the comprehensive similarity score, it is compared with a similarity threshold. Comprehensive similarity scores exceeding the threshold are selected to form a comprehensive similarity score set. To ensure a high degree of correspondence between the hanging basket design components and key parameters, the highest comprehensive similarity score is selected from the set. The hanging basket-specific component corresponding to the highest comprehensive similarity score is then identified as the target hanging basket-specific component corresponding to the key parameters. Furthermore, the target hanging basket-specific component can be adaptively adjusted based on the corresponding first parameter value to derive the hanging basket design component corresponding to the key parameters. All hanging basket design components are then combined to pre-construct a three-dimensional geometric model.

[0032] Preferably, the formula for calculating the comprehensive similarity score can be expressed as: ; in, Indicates the overall similarity score. Indicates the value of the first parameter. This represents the value of the second parameter. This indicates the number of parameter types for the key parameters. Indicates the total number of parameter types. Indicates the first The scoring factors corresponding to each key parameter.

[0033] In other words, the difference between the first and second parameter values ​​for each item can be calculated first to determine the variation. This variation, combined with the corresponding scoring factors, determines the individual similarity score for each key parameter. By summing these individual similarity scores and averaging them based on the total number of parameter types, the average score can be used as the overall similarity score. The scoring factors for each key parameter can be pre-set manually based on experience, taking into account the specific circumstances of each key parameter.

[0034] Next, step S30 is executed to perform dynamic simulations of the three-dimensional geometric model at different construction verification stages in order to obtain stress assessment results.

[0035] During the dynamic simulation process, the railway bridge hanging basket structure modeling system can realize dynamic simulation based on different construction verification stages, thereby obtaining the stress assessment results corresponding to different construction verification stages. Based on the stress assessment results, an adjustment strategy for the three-dimensional geometric model can be generated to obtain an adaptive model that can meet the needs of different construction verification stages.

[0036] In step S30, dynamic simulations are performed on the three-dimensional geometric model at different construction verification stages to obtain stress assessment results, which may further include: Based on the construction verification stage, components are selected from the three-dimensional geometric model to obtain construction simulation components. The construction simulation components are the components in the three-dimensional geometric model that affect the corresponding construction verification stage. Based on the construction verification stage, some construction simulation components are simulated and optimized to generate optimized simulation components; By combining construction simulation components and optimized simulation components, a phased model combination is formed; Dynamic simulation is performed by combining stage models to obtain stress assessment results.

[0037] In the dynamic simulation process, the construction of each model in the 3D geometric model can be selected based on the corresponding construction verification stage to obtain the construction simulation components used for each construction verification stage in the dynamic simulation. In other words, during the dynamic simulation of the construction verification stage, all model components that can be comprehensively assessed for stress can be obtained through the corresponding construction simulation components. For example, in the walking stage, track pad beams, tracks, front supports, anti-locking wheels, track pressure beams, etc., can be used as construction simulation components to determine the stress assessment results of the walking stage. If the stress assessment results do not meet the requirements, adaptive component parameters can be modified to obtain a suitable model that meets the requirements of each construction verification stage. Of course, the construction verification stage can include the no-load stage, the pouring stage, the walking stage, and the demolition stage, and may also include other stages.

[0038] In addition, after determining the construction simulation components for the construction verification stage, some construction simulation components can be simulated and optimized according to the specific needs of each construction verification stage. This will allow some construction simulation components to be optimized into optimized simulation components corresponding to the corresponding construction verification stage. Finally, by combining the construction simulation components and optimized simulation components for dynamic simulation, the stress assessment results of each construction verification stage can be determined, and it can be evaluated whether the component model of each construction verification stage needs to be modified, thus completing the design of the hanging basket structure.

[0039] In this process, based on the construction verification stage, some construction simulation components are simulated and optimized to generate optimized simulation components, including: Based on the construction verification stage, obtain the corresponding optimization features; Optimization feature parameters are generated based on the inventory component data corresponding to the optimization features; The optimized features and corresponding optimized feature parameters are added to some construction simulation components to generate optimized simulation components.

[0040] Each construction verification stage corresponds to several optimization features for construction simulation components. By adding optimization features to the construction simulation components, the correspondence between the simulated working conditions and the actual working conditions in the construction verification stage can be improved, thereby ensuring the accuracy of the stress analysis. Therefore, in the process of optimizing construction simulation components, optimization features that need further optimization can be identified based on each construction verification stage. Furthermore, based on the current inventory status of the physical components corresponding to the construction simulation components, that is, based on the inventory component data corresponding to the optimization features, the optimization feature parameters corresponding to the optimization features can be analyzed and determined. This improves the accuracy of the optimized simulation components obtained after adding the optimization feature parameters when simulating the corresponding construction verification stage.

[0041] Specifically, based on the inventory component data corresponding to the optimization features, optimization feature parameters are generated, which may further include: Based on the usage and storage data of the inventory components corresponding to the optimization features in the inventory component data, the feature parameter loss is obtained. The storage data includes the parameter loss rate per unit time and the storage time, and the usage data includes the number of uses, the purpose of each use, and the parameter loss amount corresponding to the purpose of use. Optimized feature parameters are generated based on the standard feature parameters and feature parameter loss corresponding to the optimized features.

[0042] In the process of simulating and optimizing the construction simulation components corresponding to the optimized features to ensure their correspondence with the actual components, the usage data and storage data of the inventory components corresponding to the optimized features can be retrieved from the inventory component data. Based on the usage data and storage data of the inventory components, the corresponding feature parameter loss can be further analyzed and calculated. By using the standard feature parameters corresponding to the optimized features of each inventory component, the part of the feature parameter loss can be removed, thereby determining the optimized feature parameters used to simulate and optimize the construction simulation components, so as to ensure the accuracy of the simulation during the corresponding construction verification stage.

[0043] Preferably, the formula for calculating the optimized feature parameters can be expressed as: ; in, This indicates the optimization of feature parameters. Represents standard characteristic parameters, This represents the rate of parameter loss per unit time. Indicates the storage time. Indicates the number of times it is used. Indicates the amount of parameter loss. Indicates the factors influencing the characteristics.

[0044] In the process of optimizing feature parameters, the parameter loss rate per unit time corresponding to each usage time stage (or parameter loss stage) can be utilized. Combined with the corresponding storage time This allows for the calculation of the loss of the first feature parameter corresponding to the stored data, i.e. This can be achieved by utilizing the parameter loss corresponding to each use. This allows for the calculation of the loss of the second feature parameter corresponding to multiple uses of the data, i.e. Then, the first feature parameter loss and the second feature parameter loss are superimposed to calculate the total feature parameter loss.

[0045] The optimization feature can be friction, structural stability, or other features that affect each stage of construction verification. For example, during the walking phase of the construction verification stage, corresponding friction features can be added to the track, front support, and anti-locking wheels. For other simulated construction components in the construction verification stage, structural stability of the component materials can be added based on corresponding optimization feature parameters. This structural stability can also be used, for example, in the pouring stage, to simulate and determine the load-bearing stability during pouring based on the stress assessment results, using the structural stability as a basis.

[0046] Next, step S40 is executed to adjust and update the three-dimensional geometric model based on the stress assessment results in order to generate an adapted model.

[0047] After obtaining the stress assessment results corresponding to each construction verification stage, the railway bridge hanging basket structure modeling system can further adjust and analyze each construction simulation component of the three-dimensional geometric model based on the stress assessment results. This allows for the adjustment and correction of the construction simulation components, thereby generating an adapted model that meets the design requirements of the hanging basket structure for drawing, quantity calculation, and other tasks.

[0048] In step S40, the three-dimensional geometric model is adjusted and updated based on the stress assessment results to generate an adapted model, which may further include: The stress difference is obtained by calculating the difference between the stress assessment result and the benchmark stress limit corresponding to the construction verification stage. The force difference is compared with the difference threshold, and the force difference that is greater than the difference threshold is regarded as an abnormal force difference. Based on the location points corresponding to the abnormal force differences, an abnormal force region is formed; The abnormal force difference between the abnormal force area and each point within the abnormal force area is compared with the baseline abnormal force difference between each benchmark abnormal force area and each point within the benchmark abnormal force area in the abnormal force storage repository to obtain a set of similarity values. The maximum similarity value in the set of similarity values ​​is selected, and the special component of the hanging basket corresponding to the benchmark abnormal area is obtained according to the benchmark abnormal area, which is used as the component to be adjusted corresponding to the stress abnormal area. The benchmark abnormal area corresponds to the special component of the hanging basket. Based on the maximum similarity value and the component parameters corresponding to the component to be adjusted, generate adjustment values ​​for the component parameters; The component parameters in the 3D geometric model are adjusted and updated based on the adjustment values ​​to generate an adapted model.

[0049] During the adjustment and updating of the 3D geometric model, the stress assessment results can be compared with the benchmark stress limits corresponding to the construction verification stage. Specifically, when the stress value at a corresponding point in the stress assessment results is greater than the benchmark upper limit or less than the benchmark lower limit, the stress difference can be calculated by subtracting the stress value from the corresponding benchmark stress limit. If the stress difference is greater than a threshold, it is considered an abnormal stress difference. Then, the region consisting of all the points corresponding to all abnormal stress differences is designated as an abnormal stress region. In each abnormal stress region or combination of regions, a similarity comparison is performed with each benchmark abnormal region and the benchmark abnormal stress difference at each point within the benchmark abnormal region in the abnormal region repository. This yields a set of similarity values ​​between the similarity values ​​and the benchmark abnormal stress differences at each point within the benchmark abnormal region. The similarity value set includes positive and negative similarity values. Specifically, a positive similarity value is generated when the mean of the abnormal force difference within the abnormal force region is greater than the mean of the baseline abnormal force difference. The formula for calculating this positive similarity value can be expressed as follows: ,in, This represents the abnormal force difference at each location point. This represents the baseline abnormal force difference at each location point, a value pre-configured based on the abnormality repository. This represents the benchmark value for similarity comparison; this value is configured in advance. This indicates the number of location points. When the mean of the abnormal force difference is less than the mean of the baseline abnormal force difference, a negative similarity value is generated. The formula for calculating this negative similarity value can be expressed as follows: ,in, This represents the abnormal force difference at each location point. This represents the baseline abnormal force difference at each location point, a value pre-configured based on the abnormality repository. This represents the benchmark value for similarity comparison; this value is configured in advance. This indicates the number of location points. To find the most suitable hanging basket-specific components and their corresponding parameters, a benchmark anomaly region corresponding to the maximum similarity value is selected from the similarity value set. This benchmark anomaly region is then used as the component to be adjusted corresponding to the stress anomaly region. Next, adjustment values ​​for the component parameters are generated based on the maximum similarity value and the component parameters corresponding to the component to be adjusted. For example, when the maximum similarity value is positive, the component parameters are incrementally adjusted based on this maximum similarity value; when the maximum similarity value is negative, the component parameters are decrementally adjusted based on this maximum similarity value. This ensures that after the adjustment values ​​update the component parameters, the generated adaptation model can meet the needs of each construction verification stage to the greatest extent. The formula for calculating the adjustment value can be expressed as follows: , Indicates component parameters, Indicates the incremental adjustment factor. This represents the reduction adjustment factor, where the increment adjustment factor and the reduction adjustment factor can be manually set empirical values.

[0050] Next, step S50 is executed to perform lightweight identification and annotation processing on the adapted model to obtain the model modeling drawing.

[0051] After the railway bridge hanging basket structure modeling system is adjusted to obtain the adapted model, it can perform lightweight identification of the adapted model for drawing output, and adjust the output annotations to correspond with the lightweight visible parts based on the lightweighting, thereby ensuring that the modeling drawings can be exported more quickly, and that the annotation content, such as dimensions, can be displayed more clearly and accurately after lightweighting due to the reduction of annotation content.

[0052] In step S50, the adapted model undergoes lightweight drawing recognition and drawing annotation processing to obtain model modeling drawings, which may further include: Based on the specifications of the drawing, the limit value for line density is obtained by referring to the table; Based on the line density limit, the output view of the adapted model is captured and detected to divide the output view into a clear display area and a blurry display area. The lines in the blurred display area are lightened, and the clear display area is annotated to obtain the model drawing.

[0053] Multiple line density limits corresponding to different drawing specifications can be pre-stored in the railway bridge hanging basket structure modeling system. Then, during the modeling drawing generation process, these line density limits can be used to control the screenshot detection of the drawing perspective for the adapted model, thus dividing the drawing perspective into clear and blurred display areas. Furthermore, for the line linearity in the blurred display area, to improve the efficiency of line generation for viewing and exporting, the line linearity in the blurred display area can be lightened. Additionally, after the line linearity in the blurred display area is lightened, only the clear display area is processed for drawing annotations, which better ensures the distribution space of drawing annotations, reduces stacking, and ensures a cleaner final modeling drawing.

[0054] Specifically, based on the line density limit, screenshot detection is performed on the output view of the adapted model to divide the output view into a clear display area and a blurred display area, which may further include: Based on the drawing specifications, the drawing perspective of the adapted model is scaled and cropped in the drawing template to obtain the adjusted view. Based on the line density limit, the minimum detection size corresponding to the screenshot detection box is obtained; Generate the corresponding screenshot detection box based on the minimum detection size; Perform linear screenshot detection on the adjusted view based on the screenshot detection box; When there is at least one continuous line in the screenshot detection box and the linear relationship between the continuous lines is dispersed, the first area corresponding to the screenshot detection box is marked as a blurred display partition, and the continuous area composed of the blurred display partitions is taken as the blurred display area. The dispersed relationship includes one of the linear relationship where there is at least one intersection point of continuous lines in the screenshot detection box and the linear relationship where there is no intersection point of continuous lines in the screenshot detection box. When there are no continuous lines, only one continuous line, or multiple continuous lines converge at one intersection point in the screenshot detection box, the second area corresponding to the screenshot detection box is marked as a clear display partition, and the continuous area composed of the clear display partitions is taken as the clear display area.

[0055] During the screenshot detection process for the output view of the adapted model, the output view of the adapted model can first be scaled and screenshotted according to the corresponding proportion in the drawing template based on the output drawing specifications, thus obtaining the adjusted view corresponding to the output view in advance. Then, the minimum detection size corresponding to the screenshot detection box can be found based on the line density limit. The railway bridge hanging basket structure modeling system of this invention stores the minimum detection sizes of screenshot detection boxes corresponding to multiple line density limits. Then, based on the minimum detection size, the screenshot detection box is updated and adjusted, and then the updated screenshot detection box is used to perform screenshot linearity detection on the adjusted view. If at least one continuous line is found in the screenshot detection box and the linearity formed between the continuous lines is dispersed, it indicates that the linearity in the current screenshot detection box is relatively complex. Based on the output view display of the output drawing specifications, the detection area corresponding to the screenshot detection box can be blurred, that is, the first area corresponding to the screenshot detection box is marked as a blurred display partition, and the continuous area formed by the blurred display partition is used as the blurred display area. This can effectively reduce the linear display of the blurred display area and improve the running efficiency of the system when importing drawings. In addition, when blurring the blurred display area, a screenshot of the corresponding blurred display area can be generated in advance during the drawing export process, and the lines corresponding to the blurred display area can be compressed or deleted to reduce the increased system load caused by calculation and annotation of the area when generating the drawing, thereby reducing the efficiency of drawing export.

[0056] Furthermore, if there are no continuous lines, only one continuous line, or multiple continuous lines converging at one intersection point in the screenshot detection box, it indicates that the current screenshot detection box corresponds to relatively few lines. The second area corresponding to the screenshot detection box can be marked as a clear display partition, and the continuous area composed of clear display partitions can be used as a clear display area. When exporting the map, the annotation information corresponding to the clear display area can be generated.

[0057] Next, step S60 is executed to identify components and perform quantity calculations based on the adaptation model, generating a quantity calculation report.

[0058] After obtaining the adaptation model based on the above steps, it can be ensured that the parameter performance of each component in the model is more in line with the construction site. By identifying the components in the adaptation model and then performing quantity calculation statistics, quantity calculation and statistics can be quickly completed based on the identified component types and specifications, thereby improving the efficiency of quantity calculation report generation and the matching degree with the construction site.

[0059] Next, step S70 is executed to store the adaptation model, modeling drawings, and quantity calculation reports in the knowledge base to complete the modeling of the hanging basket structure.

[0060] After obtaining the adaptation model, modeling drawings, and quantity calculation reports through the railway bridge hanging basket structure modeling system, the data can be further stored in a knowledge base. This allows other similar construction scenarios to directly retrieve the corresponding adaptation model, modeling drawings, and quantity calculation reports from the knowledge base, quickly completing the design preparation for other similar hanging basket projects and shortening the corresponding design preparation time.

[0061] In step S70, the adaptation model, modeling drawings, and quantity calculation reports are stored in a knowledge base to complete the modeling of the hanging basket structure, including: The geographic information corresponding to the adaptation model is compared with the baseline geographic information to obtain the geographic differences, which are used as the first entity part. The adaptive model is compared with the baseline model, the model modeling drawings are compared with the baseline drawings, and the quantity calculation report is compared with the baseline report to obtain the difference data between the adaptive model and the baseline model, the model modeling drawings and the baseline drawings, and the quantity calculation report and the baseline report, which are used as the second entity part. Establish a relationship between the first entity part and the second entity part; Based on the first entity part, the second entity part, and the association relationship, a knowledge triple is obtained; The knowledge triples are stored in a knowledge base to complete the modeling of the hanging basket structure.

[0062] In the process of knowledge base storage, relevant basket structure model knowledge can be stored by forming a knowledge graph. Specifically, the geographical information corresponding to the adapted model can be compared with the baseline geographical information to determine the geographical differences between the adapted model and the baseline geographical information. This geographical difference is then used as the first entity part in the knowledge triple in the knowledge graph. Next, the adapted model and the baseline model, the model drawing and the baseline drawing, and the quantity calculation report and the baseline report are compared separately to obtain the data differences between them, which are then used as the second entity part. Then, a relationship is established between the first and second entity parts. This relationship can be obtained by inputting the first and second entity parts into a large language model, which then derives the relationship between the first and second entity parts. Finally, based on the knowledge triples corresponding to the first and second entity parts and the relationship, the knowledge is added to the knowledge base for storage. After this, the modeling work of the basket structure is completed. This process not only enables the modeling of the basket structure but also allows for resource sharing of the modeling model, improving the efficiency of construction operations across the entire railway construction network.

[0063] Please see Figure 2 The present invention also provides a railway bridge hanging basket structure modeling system 11, comprising: an acquisition unit 111 for acquiring key parameters of the hanging basket design; a model generation unit 112 for generating a three-dimensional geometric model based on the key parameters and a hanging basket-specific component library corresponding to the hanging basket type; a dynamic simulation unit 113 for performing dynamic simulations on the three-dimensional geometric model at different construction verification stages to obtain stress assessment results; an adjustment and update unit 114 for adjusting and updating the three-dimensional geometric model based on the stress assessment results to generate an adaptive model; a drawing generation unit 115 for performing lightweight drawing recognition and drawing annotation processing on the adaptive model to obtain model modeling drawings; a quantity calculation and statistics unit 116 for performing component recognition and quantity calculation statistics based on the adaptive model to generate quantity calculation reports; and a knowledge storage unit 117 for storing the adaptive model, model modeling drawings, and quantity calculation reports in a knowledge base to complete the modeling of the hanging basket structure.

[0064] It should be noted that the railway bridge hanging basket structure modeling system 11 provided in the above embodiments and the railway bridge hanging basket structure modeling method provided in the above embodiments belong to the same concept. The specific operation methods of each module and unit have been described in detail in the method embodiments and will not be repeated here. In practical applications, the railway bridge hanging basket structure modeling system 11 provided in the above embodiments can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. This is not a limitation here.

[0065] Please see Figure 3 The electronic device 1 may include a memory 12, a processor 13 and a bus, and may also include a computer program stored in the memory 12 and executable on the processor 13, such as a railway bridge hanging basket structure modeling program.

[0066] The memory 12 includes at least one type of readable storage medium, such as flash memory, portable hard drive, multimedia card, card-type memory (e.g., SD or DX memory), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the memory 12 can be an internal storage unit of the electronic device 1, such as a portable hard drive. In other embodiments, the memory 12 can be an external storage device of the electronic device 1, such as a plug-in portable hard drive, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the electronic device 1. Furthermore, the memory 12 can include both internal and external storage units of the electronic device 1. The memory 12 can be used not only to store application software and various types of data installed on the electronic device 1, such as code for modeling railway bridge hanging basket structures, but also to temporarily store data that has been output or will be output.

[0067] In some embodiments, the processor 13 may be composed of integrated circuits, such as a single packaged integrated circuit or multiple integrated circuits with the same or different functions, including combinations of one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and various control chips. The processor 13 is the control unit of the electronic device 1, connecting various components of the electronic device 1 through various interfaces and lines. It executes programs or modules (such as railway bridge hanging basket structure modeling programs) stored in the memory 12, and calls data stored in the memory 12 to perform various functions of the electronic device 1 and process data.

[0068] The processor 13 executes the operating system of the electronic device 1 and various installed applications. The processor 13 executes the applications to implement the steps in the above-described method for modeling railway bridge hanging basket structures.

[0069] For example, the computer program may be divided into one or more modules, which are stored in the memory 12 and executed by the processor 13 to complete this application. The one or more modules may be a series of computer program instruction segments capable of performing specific functions, which describe the execution process of the computer program in the electronic device 1. For example, the computer program may be divided into units in a railway bridge hanging basket structure modeling system.

[0070] The integrated unit implemented as a software functional module described above can be stored in a computer-readable storage medium, which can be non-volatile or volatile. The software functional module stored in the storage medium includes several instructions to cause a computer device (which may be a personal computer, a computer device, or a network device, etc.) or a processor to execute some functions of the railway bridge hanging basket structure modeling method described in the various embodiments of this application.

[0071] In summary, the railway bridge hanging basket structure modeling method and system disclosed in this invention utilizes key parameters in the initial design process of the hanging basket and calls upon a dedicated component library corresponding to the hanging basket type. Based on the mapping between the dedicated component library and the key parameters, a three-dimensional geometric model corresponding to the hanging basket design is quickly generated in advance. After obtaining the three-dimensional geometric model, dynamic simulations can be performed on the model according to the construction verification stages corresponding to different construction phases. This allows for the evaluation of the stress assessment results corresponding to different construction verification stages, enabling adaptive adjustments to the three-dimensional geometric model based on the stress assessment results. This results in an updated, adapted model that meets the requirements of different construction verification stages. Based on this adapted model, the accuracy of the modeled drawings and the precision of quantity calculations can be guaranteed. Furthermore, when using the adapted model to generate model-modeled drawings, lightweight identification and annotation processing can effectively reduce the size of lines in areas where the drawing specifications cannot be clearly displayed, thereby improving the efficiency of generating drawings for different specifications. Simultaneously, after the drawings and quantity calculations are completed, the adapted model, model-modeled drawings, and quantity calculation reports can be stored in a knowledge base. This allows for the rapid retrieval of compatible hanging basket structure models based on associated parameters, improving engineers' ability to find and reuse hanging basket structure models using relevant parameters, thus shortening the design preparation time for other similar hanging basket projects. Therefore, this invention effectively overcomes the various shortcomings of existing technologies and has high industrial application value.

[0072] The above embodiments are merely illustrative of the principles and effects of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by those skilled in the art without departing from the spirit and technical concept disclosed in the present invention should still be covered by the claims of the present invention.

Claims

1. A method for modeling a hanging basket structure for railway bridges, characterized in that, include: Obtain the key parameters for hanging basket design; Based on the key parameters and the dedicated component library for hanging baskets corresponding to the hanging basket type, a three-dimensional geometric model is generated. Dynamic simulations were performed on the three-dimensional geometric model at different construction verification stages to obtain stress assessment results; The three-dimensional geometric model is adjusted and updated based on the stress assessment results to generate an adapted model; The adapted model is subjected to lightweight identification and annotation processing to obtain model modeling drawings; Based on the adaptation model, component identification and quantity calculation are performed to generate a quantity calculation report; The adapted model, modeling drawings, and quantity calculation reports are stored in a knowledge base to complete the modeling of the hanging basket structure.

2. The method for modeling railway bridge hanging basket structures according to claim 1, characterized in that, Based on the key parameters and the dedicated component library for hanging baskets corresponding to the hanging basket type, a three-dimensional geometric model is generated, including: The corresponding hanging basket dedicated component library is retrieved according to the hanging basket type. The hanging basket dedicated component library includes multiple hanging basket dedicated components corresponding to the hanging basket type. The key parameters are used to perform parameter type coverage detection on the component parameters of each of the hanging basket special components in the hanging basket special component library; When the parameter types of all the key parameters exist in the component parameters of at least one of the hanging basket special components, the first parameter value corresponding to the key parameter and the second parameter value corresponding to the hanging basket special component are compared to obtain a comprehensive similarity score. Select the comprehensive similarity scores that are greater than the similarity threshold and form a comprehensive similarity score set; The hanging basket component corresponding to the maximum comprehensive similarity score in the comprehensive similarity score set is taken as the target hanging basket component corresponding to the key parameter; By adjusting the target hanging basket components according to the key parameters, the hanging basket design components are obtained; Generate a three-dimensional geometric model based on all the hanging basket design components.

3. The method for modeling railway bridge hanging basket structures according to claim 1, characterized in that, Dynamic simulations of the three-dimensional geometric model at different construction verification stages are performed to obtain stress assessment results, including: Based on the construction verification stage, components are selected from the three-dimensional geometric model to obtain construction simulation components. The construction simulation components are the components in the three-dimensional geometric model that affect the corresponding construction verification stage. Based on the construction verification stage, some of the construction simulation components are simulated and optimized to generate optimized simulation components; The construction simulation components and the optimization simulation components are used to form a stage model combination; Dynamic simulation is performed by combining stage models to obtain stress assessment results.

4. The method for modeling a railway bridge hanging basket structure according to claim 3, characterized in that, The construction verification stage includes the unloaded stage, the pouring stage, the walking stage, and the demolition stage; Based on the aforementioned construction verification stage, some of the construction simulation components are simulated and optimized to generate optimized simulation components, including: Based on the aforementioned construction verification stage, corresponding optimization features are obtained; Based on the inventory component data corresponding to the optimization features, generate optimization feature parameters; The optimized features and corresponding optimized feature parameters are added to a portion of the construction simulation components to generate the optimized simulation components.

5. The method for modeling railway bridge hanging basket structures according to claim 4, characterized in that, Based on the inventory component data corresponding to the optimization features, optimization feature parameters are generated, including: Based on the usage data and storage data of the inventory components corresponding to the optimization features in the inventory component data, the feature parameter loss is obtained. The storage data includes the parameter loss rate per unit time and the storage time. The usage data includes the number of uses, the purpose of each use, and the parameter loss amount corresponding to the purpose of use. The optimized feature parameters are generated based on the standard feature parameters corresponding to the optimized features and the feature parameter loss. The formula for calculating the optimized feature parameters is as follows: ； in, This indicates the optimization of feature parameters. Represents standard characteristic parameters, This represents the rate of parameter loss per unit time. Indicates the storage time. Indicates the number of times it is used. Indicates the amount of parameter loss. Indicates the factors influencing the characteristics.

6. The method for modeling a railway bridge hanging basket structure according to claim 1, characterized in that, The three-dimensional geometric model is adjusted and updated based on the stress assessment results to generate an adapted model, including: The difference between the stress assessment result and the benchmark stress limit corresponding to the construction verification stage is calculated to obtain the stress difference. The force difference is compared with a difference threshold, and the force difference that is greater than the difference threshold is regarded as an abnormal force difference. Based on the location points corresponding to the abnormal force difference, an abnormal force region is formed; The abnormal force difference of the stress-affected region and each location point within the stress-affected region is compared with the baseline abnormal force difference of each location point in the baseline abnormal region in the abnormal storage repository to obtain a set of similarity values. The maximum similarity value in the set of similarity values ​​is selected, and the special component for hanging baskets corresponding to the reference abnormal region corresponding to the maximum similarity value is obtained as the component to be adjusted corresponding to the stress abnormal region. The reference abnormal region corresponds to the special component for hanging baskets. Based on the maximum similarity value and the component parameters corresponding to the component to be adjusted, an adjustment value for the component parameters is generated; The component parameters in the three-dimensional geometric model are adjusted and updated according to the adjustment value to generate the adapted model.

7. The method for modeling a railway bridge hanging basket structure according to claim 1, characterized in that, The adapted model is subjected to lightweight identification and annotation processing for drawing output to obtain model modeling drawings, including: Based on the specifications of the drawing, the limit value for line density is obtained by referring to the table; Based on the line density limit, the output view of the adaptation model is captured and detected to divide the output view into a clear display area and a blurry display area. The lines in the blurred display area are lightened, and the clear display area is annotated to obtain the model drawing.

8. The method for modeling a railway bridge hanging basket structure according to claim 7, characterized in that, Based on the line density limit, a screenshot detection is performed on the output view of the adapted model to divide the output view into a clear display area and a blurred display area, including: According to the drawing specifications, the drawing perspective of the adapted model is scaled and cropped in the drawing template to obtain the adjusted view. Based on the line density limit, the minimum detection size corresponding to the screenshot detection box is obtained; Generate the corresponding screenshot detection box based on the minimum detection size; Perform linear screenshot detection on the adjusted view based on the screenshot detection box; When there is at least one continuous line in the screenshot detection frame and the linear relationship between the continuous lines is dispersed, the first area corresponding to the screenshot detection frame is marked as a blurred display partition, and the continuous area formed by the blurred display partitions is taken as the blurred display area. The dispersed relationship includes one of the linear relationship in which there is at least one intersection point of continuous lines in the screenshot detection frame and the linear relationship in which there is no intersection point of continuous lines in the screenshot detection frame. When there are no continuous lines, only one continuous line, or multiple continuous lines converge at one intersection point in the screenshot detection frame, the second area corresponding to the screenshot detection frame is marked as a clear display partition, and the continuous area composed of the clear display partitions is taken as the clear display area.

9. The method for modeling a railway bridge hanging basket structure according to claim 1, characterized in that, The adapted model, modeling drawings, and quantity calculation reports are stored in a knowledge base to complete the modeling of the hanging basket structure, including: The geographic information corresponding to the adaptation model is compared with the baseline geographic information to obtain the geographic differences, which are used as the first entity part. The adaptive model is compared with the benchmark model, the model modeling drawings are compared with the benchmark drawings, and the quantity calculation report is compared with the benchmark report to obtain the difference data between the adaptive model and the benchmark model, the model modeling drawings and the benchmark drawings, and the quantity calculation report and the benchmark report, which is used as the second entity part. Establish an association relationship between the first entity part and the second entity part; Based on the first entity part, the second entity part, and the association relationship, a knowledge triple is obtained; The knowledge triples are stored in a knowledge base to complete the modeling of the hanging basket structure.

10. A modeling system for a railway bridge hanging basket structure, characterized in that, include: The acquisition unit is used to acquire key parameters for the hanging basket design. The model generation unit is used to generate a three-dimensional geometric model based on the key parameters and the hanging basket-specific component library corresponding to the hanging basket type. The dynamic simulation unit is used to perform dynamic simulations on the three-dimensional geometric model at different construction verification stages to obtain stress assessment results. An adjustment and update unit is used to adjust and update the three-dimensional geometric model based on the stress assessment results to generate an adapted model; The drawing generation unit is used to perform lightweight drawing recognition and drawing annotation processing on the adapted model to obtain modeling drawings. The quantity calculation and statistics unit is used to identify components and perform quantity calculation and statistics based on the adaptation model, and generate a quantity calculation report. as well as The knowledge storage unit is used to store the adaptation model, modeling drawings, and quantity calculation reports in a knowledge base to complete the modeling of the hanging basket structure.

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