Segmental beam embedded part digitized rapid layout method and system

Abstract

The application provides a segmental beam embedded part digitized rapid layout method and system, comprising the following steps: S1. embedded part classification and rule definition; S2. model import and geometric recognition; S3. automatic layout matching; S4. prestressed pipe generation; S5. data output. The application adopts parameterized template technology and automatic batch generation algorithm, completely replaces the operation mode of manual point-by-point layout and piece-by-piece modification, greatly shortens the design cycle, significantly accelerates the overall project progress, effectively improves the positioning accuracy of the embedded part through digitized geometric recognition and accurate coordinate calculation, meets the high-precision requirement of segmental beam prefabrication, simultaneously automatically matches and lays out based on preset rules, as far as possible, eliminates the problems of missing embedding and wrong embedding, simultaneously constructs a model, parameter, list, and integrated data link, all embedded part information and three-dimensional models are real-time linked, and the problem of inconsistent data in the traditional mode is solved.

Description

Technical Field

[0001] This invention relates to the field of segmental beam embedded parts technology, and in particular to a digital rapid deployment method and system for segmental beam embedded parts. Background Technology

[0002] Precast segmental box girders have been widely used in the construction of high-grade highway and railway bridges due to their advantages such as high degree of industrialization, fast construction speed and green environmental protection. As a key node connecting the bridge structure and ancillary facilities, the precast segments of the segmental girder are characterized by their wide variety, large quantity and high positioning accuracy requirements. The quality of their placement directly affects the bridge precast accuracy, assembly efficiency and operational safety.

[0003] The current method of laying out embedded parts for segmental beams generally adopts two-dimensional CAD manual drawing or general three-dimensional software modeling. The layout of embedded parts is manually drawn using CAD and other software, relying on the experience of designers to locate each point. This method is prone to errors in dimensioning and omissions. While simple three-dimensional models can be built with the help of software such as SketchUp and Rhino to assist in visualization, it is impossible to achieve parametric driving and automatic updates.

[0004] In summary, existing technologies suffer from technical defects such as low efficiency, susceptibility to errors, poor adaptability, and inconsistent data. Therefore, a digital rapid deployment method and system for segmental beam embedded parts is proposed to solve the above problems. Summary of the Invention

[0005] To address the problems mentioned in the background art, this invention provides a digital rapid layout method and system for segmental beam embedded parts, solving the pain points of low efficiency, error-proneness, and inconsistent data in manual layout of segmental beam embedded parts.

[0006] To achieve the above objectives, the technical solution adopted by this invention is: a method for rapid digital deployment of embedded parts in segmental beams, comprising the following steps: S1. Classification and Rule Definition of Embedded Parts: The embedded parts of segmental beams are classified into segmental feature type, mileage positioning type and prestressed type, and parameterized layout logic is defined for each type; S2. Model Import and Geometric Recognition: Import the segmental beam IFC model, parse the model's geometric topology using the Allplan API, and automatically extract the segmental physical features; S3. Automatic layout and matching: Based on the extracted segment physical features and externally input parameters, the predefined parametric template is called to automatically generate a 3D embedded part model in the Allplan environment; S4. Prestressed duct generation: Read the prestressed steel strand parameters, calculate the spatial alignment based on the segment local coordinate system, and generate the prestressed duct model and positioning steel bar control points; S5. Data Output: Statistically analyze embedded parts and prestress data by segment, and output a standardized material list and visualization model.

[0007] Preferably, the parameterized deployment logic in step S1 includes: For segment-feature type embedded parts, logical triggering conditions are set based on the structural construction features of the segment model; For mileage-based embedded parts, linear positioning conditions based on the bridge design axis are set. Based on the input mileage station data, the orthogonal projection position of the mileage point on the segment model is calculated and used as the layout origin of the embedded part. For prestressed embedded parts, path generation conditions based on the steel strand alignment are set, and a three-dimensional spatial curve is constructed based on the coordinates of the start and end points of the steel strand and the control point parameters.

[0008] Preferably, the predefinition process of parameterized templates in step S3 includes: In the Allplan Bridge environment, the TCL scripting language is used to define the two-dimensional reference line system; The reference line system includes a main reference line and at least two offset auxiliary lines. The main reference line is located at the center of the end face or the edge of the top plate of the segment model. The offset auxiliary lines are offset relative to the main reference line along the horizontal or vertical bridge direction by a set distance. Define the insertion point of the embedded part as the intersection of the main baseline and the offset auxiliary line, or the coordinate point at a specific offset distance; Establish a mapping relationship between templates and segment feature identifiers.

[0009] Preferably, the step of reading the prestressed steel strand parameters in step S4 is as follows: A1. Receive user-input data such as steel strand number, steel strand type, pipe diameter, and anchor model through a graphical user interface; A2. Analyze the control point data for the steel strand alignment; Control point data includes the start and end coordinates of straight line segments, the radius of curvature of curve segments, and tangent angle parameters; A3. Match the preset linearity algorithm according to the type of steel strand; Linear algorithms include at least one of the following: straight line segment algorithm, circular curve segment algorithm, and parabolic segment algorithm.

[0010] Preferably, the step of calculating the spatial linearity based on the segmental local coordinate system in step S4 is as follows: B1. Establish a right-handed local coordinate system with the center of the front end face of the segment as the origin, the X-axis along the bridge direction as the X-axis, the Y-axis along the bridge direction as the Y-axis, and the Z-axis along the vertical direction as the Z-axis; B2. Convert the coordinates of the steel strand control points in the global coordinate system to relative coordinates in the local coordinate system; B3. A continuous prestressed spatial path curve is generated by interpolation calculation in the local coordinate system.

[0011] Preferably, step S3 further includes template adaptive adjustment, the specific steps of which are as follows: C1. When a segment is identified as a double-sided variable-width segment, the lateral offset auxiliary line in the parameterized template is scaled proportionally according to the ratio of the current end width to the standard end width of the segment. C2. When a segment is identified as a unilaterally widened segment, the unilateral lateral offset auxiliary line in the parameterized template is linearly corrected according to the width difference of the widened side. C3. When a segment is identified as a variable height segment, the vertical positioning coordinates in the parameterized template are linearly corrected according to the change in beam height.

[0012] Preferably, collision detection and automatic avoidance are also included; After generating the embedded part model, call Allplan's solid Boolean operation interface to detect the interference volume between the embedded part entity and the prestressed duct entity; If the detected interference volume is greater than the preset tolerance threshold, the spatial position or rotation angle of the embedded part will be automatically adjusted until the interference is eliminated.

[0013] Another technical solution adopted in this invention is: a digital rapid deployment system for segmental beam embedded parts, comprising: The geometry recognition module is used to analyze the segmental beam IFC model and extract geometric dimensions and feature identifiers; The embedded parts layout module has a built-in parametric template library, which is used to call templates and generate model entities according to the layout rules; The prestress generation module is used to analyze prestress parameters, calculate spatial paths, and generate pipe models. The data output module is used to summarize and export the bill of materials and coordinate data. Preferably, the geometry recognition module is configured to traverse the geometric patch information of the IFC model, identify the polygonal contour features of the segment end face, automatically calculate the segment length, top plate width and bottom plate width, and determine whether there is a thickened middle crossbeam segment or an end crossbeam segment by using the patch normal vector and thickness features.

[0014] Preferably, the embedded part layout module supports dynamic instantiation of templates; For the pre-embedded steel bars of the guardrail, the number of instantiations in the segment is automatically calculated based on the segment length and the preset layout spacing, and an array model with equal spacing is generated on the template reference line. For pre-embedded pipes for ventilation holes or drainage holes, the length of the pre-embedded pipe extending out of the beam surface is automatically adjusted according to the pipe wall thickness.

[0015] Preferably, the prestress generation module is also used to identify the segment splice locations of longitudinal prestressed ducts of two or more segments, and to generate a duct butt joint model at the splice locations.

[0016] This invention provides a method and system for the rapid digital deployment of embedded parts in segmental beams, with the following advantages: 1. This invention adopts parametric template technology and automatic batch generation algorithm to completely replace the manual point-by-point layout and component-by-component modification operation mode, greatly shorten the design cycle, significantly accelerate the overall project progress, and effectively improve the positioning accuracy of embedded parts through digital geometric recognition and precise coordinate calculation to meet the high precision requirements of segmental beam prefabrication. At the same time, it automatically matches and lays out based on preset rules to minimize the problems of omission and mis-embedding.

[0017] 2. This invention constructs an integrated data link encompassing model, parameters, list, and disclosure. All embedded part information is linked with the 3D model in real time, and relevant data is automatically updated when the model is modified. This completely solves the problem of data inconsistency in the traditional model. Furthermore, all data is stored and managed in a unified manner, supports multi-dimensional retrieval, and enables data traceability throughout the entire lifecycle of embedded parts.

[0018] 3. The parametric template adaptive adjustment technology of the present invention can automatically adapt to the structural features of various complex segmental beams, without the need for manual adjustment of the embedded parts position one by one. The template can be applied to all segments of the entire bridge with one template definition, which greatly reduces the workload of design modification, while being compatible with a variety of common segmental structural forms. Attached Figure Description

[0019] The present invention will be further described below with reference to the accompanying drawings and embodiments: Figure 1 This is a flowchart of the deployment method of the present invention. Detailed Implementation

[0020] Example 1: like Figure 1 As shown, a method for rapid digital deployment of embedded parts in segmental beams includes the following steps: S1. Classification and Rule Definition of Embedded Parts: The embedded parts of segmental beams are classified into segmental feature type, mileage positioning type and prestressed type, and parameterized layout logic is defined for each type; S2. Model Import and Geometric Recognition: Import the segmental beam IFC model, parse the model's geometric topology using the Allplan API, and automatically extract the segmental physical features; S3. Automatic Layout and Matching: Based on the extracted segment physical features and externally input parameters, the system calls predefined parametric templates to automatically generate a 3D embedded part model in the Allplan environment; S4. Prestressed duct generation: Read the prestressed steel strand parameters, calculate the spatial alignment based on the segment local coordinate system, and generate the prestressed duct model and positioning steel bar control points; S5. Data Output: Statistically analyze embedded parts and prestress data by segment, and output a standardized material list and visualization model.

[0021] In this embodiment, it should be noted that in step S1, the segmental feature type embedded parts include the end crossbeam embedded steel bars, the middle crossbeam embedded steel bars, the support embedded plates, etc., and their layout is closely related to the structural features of the segmental beam. Mileage positioning embedded parts include guardrail embedded steel bars, expansion joint embedded steel plates, cable trough embedded parts, etc., and their placement is determined by the mileage station of the bridge. Prestressed embedded parts include prestressed ducts, anchor plates, spiral reinforcements, etc., and their placement is determined by the alignment of the prestressed steel strands.

[0022] For segmental feature-type embedded parts, a logic trigger condition is set. When an end beam is detected in a segment, the layout of the embedded steel bars in the end beam is automatically triggered. When a support pad is detected in a segment, the layout of the support embedded plate is automatically triggered. For mileage-based embedded parts, linear positioning conditions based on the bridge design axis are set. First, the bridge design axis data is imported. Then, based on the input mileage station, the coordinates of the mileage point on the design axis are calculated. Next, the orthogonal projection position of the coordinate point on the segment model is calculated, which is used as the layout origin of the embedded part.

[0023] For prestressed embedded parts, path generation conditions based on the steel strand alignment are set. According to the coordinates of the start and end points of the steel strand and the parameters of the intermediate control points, a three-dimensional spatial curve is constructed using the corresponding alignment algorithm, and then a prestressed duct model is generated along the curve.

[0024] In this embodiment, it should be noted that in step S2, the designed segmental beam IFC model is imported into Allplan software.

[0025] By calling the geometric topology analysis interface provided by the Allplan API, all geometric patch information of the IFC model is traversed to automatically extract the physical features of the segmental beams, including: The segment length is calculated by identifying the minimum and maximum X coordinates of the two end faces of the segment; The width of the top plate is calculated by identifying the Y coordinates of the left and right edges of the top surface of the top plate; The width of the base plate is calculated by identifying the Y coordinates of the left and right edges of the lower surface of the base plate; The beam height is calculated by identifying the Z coordinates of the upper surface of the top plate and the lower surface of the bottom plate; The beam features are determined by the surface normal vector and thickness features to determine whether there is a thickened section in the middle beam or an end beam section, and the position and size information of the beam are extracted.

[0026] In this embodiment, it should be noted that in step S3, based on the segment physical features extracted in step S2 and the design parameters input by the user, the corresponding template is called from the predefined parametric template library to automatically generate a three-dimensional embedded part model in the Allplan environment.

[0027] The parametric template is predefined in the Allplan Bridge environment using the TCL scripting language, and its core is a two-dimensional reference line system.

[0028] The two-dimensional reference line system consists of a main reference line and multiple offset auxiliary lines. The main reference line is usually located at the center of the end face or the edge of the top plate of the segment model, serving as the reference for positioning; The offset guide line is offset relative to the main reference line at a set distance along the horizontal or vertical direction of the bridge.

[0029] The insertion point of the embedded part is defined as the intersection of the main baseline and the offset auxiliary line, or the coordinate point at a specific offset distance; Each template is mapped to a segment feature identifier. When the system identifies the corresponding segment feature, it automatically calls the corresponding template.

[0030] In order to adapt to different types of segmental beams, the system also supports adaptive adjustment of the template.

[0031] C1. When a segment is identified as a double-sided variable-width segment, the lateral offset auxiliary line in the parameterized template is scaled proportionally according to the ratio of the current end width to the standard end width of the segment. C2. When a segment is identified as a unilaterally widened segment, the unilateral lateral offset auxiliary line in the parameterized template is linearly corrected according to the width difference of the widened side. C3. When a segment is identified as a variable height segment, the vertical positioning coordinates in the parameterized template are linearly corrected according to the change in beam height.

[0032] In addition, for embedded parts that need to be arrayed, such as the embedded steel bars of guardrails, the system automatically calculates the number of instantiations in the segment based on the segment length and the preset layout spacing, and generates an array model with equal spacing on the template reference line. For embedded pipes for ventilation holes or drainage holes, the system automatically adjusts the length of the embedded pipe extending out of the beam surface based on the pipe wall thickness to ensure the installation quality of the embedded pipe.

[0033] In this embodiment, it should be noted that the step of reading the prestressed steel strand parameters in step S4 is as follows: A1. Receive user-input data such as steel strand number, steel strand type, pipe diameter, and anchor model through a graphical user interface; A2. Analyze the control point data for the steel strand alignment; Control point data includes the start and end coordinates of straight line segments, the radius of curvature of curve segments, and tangent angle parameters; A3. Match the preset linearity algorithm according to the type of steel strand; Linear algorithms include at least one of the following: straight line segment algorithm, circular curve segment algorithm, and parabolic segment algorithm.

[0034] For straight line segments, the straight line segment algorithm is used to directly connect the two control points; For circular curve segments, the circular curve segment algorithm is used to calculate the coordinates of the center and the coordinates of the start and end points of the circular curve based on the radius of curvature and the tangent angle; For parabolic segments, the parabolic segment algorithm is used to calculate the equation of the parabola based on the coordinates of the three control points.

[0035] In this embodiment, it should be noted that the step of calculating the spatial linear shape based on the segmental local coordinate system in step S4 is as follows: B1. Establish a right-handed local coordinate system with the center of the front end face of the segment as the origin, the X-axis along the bridge direction as the X-axis, the Y-axis along the bridge direction as the Y-axis, and the Z-axis along the vertical direction as the Z-axis; B2. Convert the coordinates of the steel strand control points in the global coordinate system to relative coordinates in the local coordinate system; B3. A continuous prestressed spatial path curve is generated by interpolation calculation in the local coordinate system.

[0036] In this embodiment, it should be noted that for longitudinal prestressed ducts, the system automatically identifies the splice positions of two or more segments and generates a pipe butt joint model at the splice joint to ensure that the pipes can be accurately connected during subsequent segment assembly.

[0037] In this embodiment, it should be noted that collision detection and automatic avoidance are also included; After generating all embedded part models and prestressed duct models, the Allplan entity Boolean operation interface is called to detect the interference volume between the embedded part entity and the prestressed duct entity. The system presets a tolerance threshold. If the detected interference volume is greater than the threshold, it is determined that a collision has occurred. When a collision is detected, the system automatically adjusts the spatial position or rotation angle of the embedded parts, prioritizing fine-tuning along the horizontal or vertical direction of the bridge until the interference is eliminated. During the adjustment process, the system will automatically record the adjusted coordinates and update the parameter information of the embedded parts; If automatic adjustment fails to eliminate the collision, the system will issue a warning and highlight the collision location, prompting the user to handle it manually.

[0038] In this embodiment, it should be noted that in step S5, when outputting data, the quantity, specifications, coordinates, and other data of all embedded parts and prestressed pipes are counted by segment to generate a standardized material list.

[0039] The bill of materials is in tabular format and includes information such as embedded part number, type, specifications, quantity, coordinates, and remarks.

[0040] Simultaneously, it outputs a 3D visualization model containing all embedded parts and prestressed ducts. The model format supports common formats such as IFC and DWG, and can be directly used for production management and construction guidance in prefabrication plants.

[0041] Example 2: This embodiment provides a digital rapid deployment system for embedded parts in segmental beams, which implements the method of Embodiment 1. The system includes a geometric recognition module, an embedded part layout module, a prestress generation module, and a data output module.

[0042] The geometry recognition module is used to analyze the segmental beam IFC model and extract geometric dimensions and feature identifiers.

[0043] The geometry recognition module is configured to traverse the geometric patch information of the IFC model, identify the polygonal contour features of the segment end face, automatically calculate the segment length, top plate width and bottom plate width, and determine whether there is a thickened middle crossbeam segment or an end crossbeam segment by using the patch normal vector and thickness features.

[0044] The embedded part layout module has a built-in parametric template library, which is used to call templates and generate model entities according to the layout rules.

[0045] The embedded parts layout module supports dynamic instantiation of templates. For guardrail embedded steel bars, the module automatically calculates the number of instantiations in the segment based on the segment length and preset layout spacing, and generates an array model with equal spacing on the template reference line. For ventilation holes or drainage holes embedded pipes, the module automatically adjusts the length of the embedded pipe extending out of the beam surface based on the pipe wall thickness.

[0046] The embedded part layout module also supports adaptive adjustment of the template, which can automatically adjust the template parameters according to the characteristics of segment width, height and other features.

[0047] The prestress generation module is used to analyze prestress parameters and calculate spatial paths to generate pipe models.

[0048] The prestressing generation module can automatically calculate the spatial shape of the prestressed steel strands based on the steel strand parameters and control point data input by the user, and generate the corresponding pipe model and positioning rebar control points.

[0049] In addition, the prestress generation module is also used to identify the segment splice locations of longitudinal prestressed ducts with two or more segments, and to generate a duct butt joint model at the splice.

[0050] The data output module is used to summarize and export the bill of materials and coordinate data.

[0051] The data output module can collect information on all embedded parts and prestressed pipes by segment, generate a standardized material list, and output a three-dimensional visualization model.

[0052] Experimental Example 1: The digital rapid deployment system for segmental beam embedded parts of the present invention is specifically implemented in this experimental example as a software plugin for deploying segmental beam embedded parts of CCCC Second Harbor Engineering Co., Ltd., which runs in the Allplan Bridge environment.

[0053] This embodiment is based on the Z35 segmental precast box girder of a certain expressway super-large bridge. The total length of this bridge is 90m, divided into 30 precast segments, including: Standard uniform cross-section segments: 24 segments, each segment is 3.0m long, the top plate is 12.5m wide, the bottom plate is 6.5m wide, and the beam is 2.0m high; End crossbeam segments: 2, with an end thickness of 0.5m; Two crossbeam segments, with a 0.6m thickening in the middle; Steering block segments: 2, with external beam steering structure.

[0054] The entire project includes 3,780 embedded parts. Traditional manual 2D CAD layout requires 3 engineers and takes about 16 hours to complete, and there is a risk of omission or incorrect embedding. Modification of variable cross-section segments requires a complete readjustment.

[0055] Based on Embodiment 1 and Embodiment 2, a digital rapid deployment method and system for segmental beam embedded parts is adopted. The specific implementation steps are as follows: Step 1: Definition of embedded parts classification and parametric layout rules: Based on the layout triggering conditions and positioning basis of the segmental beam embedded parts, all embedded parts of the entire beam are divided into three categories: segmental characteristic type, mileage positioning type, and prestressed type. A segmental characteristic table and a parameterized layout rule table are also established.

[0056] Segment feature table establishment: The system predefines core feature dimensions for segments, which are used for subsequent rule matching and template invocation, as shown in Table 1 below:

[0057] Table 1: Segment Characteristics Table Definition of parametric layout rules for three types of embedded parts: For different types of embedded parts, the digital layout logic is defined separately, as shown in Table 2 below:

[0058] Table 2: Parametric Layout Rules Longitudinal prestressed steel strand classification and template mapping: The longitudinal prestressed steel strands are classified into 15 categories according to their stress characteristics and linear features. Each category corresponds to a predefined parametric linear template, as shown in Table 3 below:

[0059] Table 3: Classification of Longitudinal Prestressing Step 2: Importing the IFC model and automatically identifying segment geometric features: Launch Allplan software and import the Z35 segmental beam IFC model exported from Revit.

[0060] The software plugin for laying out segmental beam embedded parts developed by CCCC Second Harbor Engineering Co., Ltd. was launched, and the AllplanPythonParts API was called to traverse the geometric patch information of the IFC model.

[0061] The system automatically performs the following identification operations: Establish a right-handed local coordinate system with the center of the front end face of the segment as the origin, the X-axis along the bridge direction as the X-axis, the Y-axis along the bridge direction as the Y-axis, and the Z-axis along the vertical direction as the Z-axis; Calculate the core dimensions of each segment, such as length, top plate width, bottom plate width, and beam height; Special structures such as the middle crossbeam, end crossbeam, and steering block are identified by using the surface normal vector and thickness features. Read information such as segment number and connection relationship from the IFC model attributes and automatically generate a segment feature table; After identification is completed, the system displays a list of segment features on the interface, which supports manual verification and correction.

[0062] Step 3: Predefining and mapping parameterized templates: All embedded part templates are predefined in cross-sectional format using Allplan Bridge TCL scripts, storing the relative relationships of reference lines in a two-dimensional coordinate system. Predefined main reference lines for top and bottom plates: The top plate reference line is located at the center line of the upper surface of the top plate, and the bottom plate reference line is located at the center line of the lower surface of the bottom plate; Define offset auxiliary lines: offset relative to the main baseline by a set distance along the horizontal or vertical bridge direction, such as the top edge auxiliary line, the web centerline auxiliary line, etc. Define the embedded part insertion point: the intersection of the main baseline and the offset auxiliary line, or the coordinate point at a specific offset distance; Establish a mapping relationship between each template and the corresponding segment features and embedded part types.

[0063] Step 4: Automatic placement and matching of embedded parts: The system reads the preset embedded part layout configuration file and determines the set of embedded part types to be generated this time, including segment feature type, mileage positioning type and prestressed type embedded parts; The system reads the global parameter configuration table to obtain global design parameters such as the spacing of the embedded steel bars in the guardrail, the diameter of the embedded pipe in the hoisting hole, the diameter of the ventilation hole, and the extension length of the embedded pipe; The system reads external input data from the specified data path; The system iterates through all identified segment models and performs the following automatic deployment operation for each segment.

[0064] Step 5: Automated generation of prestressed ducts: The system reads the pre-imported prestressed parameter table, parses the steel strand number, type, pipe diameter, anchor model and alignment control point data, and automatically classifies and stores them according to the steel strand stress type; Based on the preset steel strand generation rules or the generation range specified in the parameter table, filter the types of steel strands to be generated and automatically match the predefined linear template; The system performs the following calculations and model generation operations; Once generated, the system will uniformly store the prestressed duct model data, the coordinate table of the linear control points, and the coordinate table of the positioning reinforcement into the model database, supporting subsequent collision detection and data export and retrieval.

[0065] Step 6: Collision Detection and Automatic Avoidance: After all embedded parts and prestressed duct models are generated, call Allplan's solid Boolean operation interface and perform the following operations: The interference volume between the embedded part and the prestressed duct is detected, with a preset tolerance threshold of 100 mm³. If the detected interference volume is greater than the threshold, the position of the embedded parts will be automatically fine-tuned along the horizontal or vertical direction of the bridge, with priority given to adjusting the non-load-bearing embedded parts. After adjustment, retest until the interference is eliminated; Automatically records all adjustment information and generates a collision detection report.

[0066] In this experiment, a total of 7 minor collisions were detected, all of which were automatically adjusted and eliminated by the system without human intervention.

[0067] Step 7: Data Output and Deliverables All embedded parts and prestress data are statistically analyzed on a segment-by-segment basis, and standardized results are output. Taking segment Z35-7-9 as an example, the output list for segment Z35-7-9 is shown in Table 4 below:

[0068] Table 4: List of Output Results Visual model output: Export Allplan model, IFC model and DWG 2D drawings containing all embedded parts and prestressed ducts.

[0069] Construction handover documents: Generate embedded part coordinate tables, template opening diagrams, and rebar processing tables, which can be directly used for prefabrication plant production.

[0070] Comparison of implementation results: The results of this experiment are compared with those of traditional manual methods, as shown in Table 5 below:

[0071] Table 5: Comparison of the Implementation Results of the Experimental Cases with Traditional Manual Methods The above embodiments are merely preferred technical solutions of the present invention and should not be considered as limitations on the present invention. The scope of protection of the present invention should be limited to the technical solutions described in the claims, including equivalent substitutions of the technical features described in the claims. That is, equivalent substitutions and improvements within this scope are also within the scope of protection of the present invention.

Claims

1. A method for rapid digital deployment of embedded parts in segmental beams, characterized by: Includes the following steps: S1. Classification and Rule Definition of Embedded Parts: The embedded parts of segmental beams are classified into segmental feature type, mileage positioning type and prestressed type, and parameterized layout logic is defined for each type; S2. Model Import and Geometric Recognition: Import the segmental beam IFC model, parse the model's geometric topology using the Allplan API, and automatically extract the segmental physical features; S3. Automatic layout and matching: Based on the extracted segment physical features and externally input parameters, the predefined parametric template is called to automatically generate a 3D embedded part model in the Allplan environment; S4. Prestressed duct generation: Read the prestressed steel strand parameters, calculate the spatial alignment based on the segment local coordinate system, and generate the prestressed duct model and positioning steel bar control points; S5. Data Output: Statistically analyze embedded parts and prestress data by segment, and output a standardized material list and visualization model.

2. The method for rapid digital deployment of embedded parts in segmental beams according to claim 1, characterized in that: The parameterized deployment logic in step S1 includes: For segment-feature type embedded parts, logical triggering conditions are set based on the structural construction features of the segment model; For mileage-based embedded parts, linear positioning conditions based on the bridge design axis are set. Based on the input mileage station data, the orthogonal projection position of the mileage point on the segment model is calculated and used as the layout origin of the embedded part. For prestressed embedded parts, path generation conditions based on the steel strand alignment are set, and a three-dimensional spatial curve is constructed based on the coordinates of the start and end points of the steel strand and the control point parameters.

3. The method for rapid digital deployment of embedded parts in segmental beams according to claim 1, characterized in that: The predefinition process of parameterized templates in step S3 includes: In the Allplan Bridge environment, the TCL scripting language is used to define the two-dimensional reference line system; The reference line system includes a main reference line and at least two offset auxiliary lines. The main reference line is located at the center of the end face or the edge of the top plate of the segment model. The offset auxiliary lines are offset relative to the main reference line along the horizontal or vertical bridge direction by a set distance. Define the insertion point of the embedded part as the intersection of the main baseline and the offset auxiliary line, or the coordinate point at a specific offset distance; Establish a mapping relationship between templates and segment feature identifiers.

4. The method for rapid digital deployment of embedded parts in segmental beams according to claim 1, characterized in that: The steps for reading the prestressed steel strand parameters in step S4 are as follows: A1. Receive user-input data such as steel strand number, steel strand type, pipe diameter, and anchor model through a graphical user interface; A2. Analyze the control point data for the steel strand alignment; Control point data includes the start and end coordinates of straight line segments, the radius of curvature of curve segments, and tangent angle parameters; A3. Match the preset linearity algorithm according to the type of steel strand; Linear algorithms include at least one of the following: straight line segment algorithm, circular curve segment algorithm, and parabolic segment algorithm.

5. The method for rapid digital deployment of embedded parts in segmental beams according to claim 1, characterized in that: The steps in step S4 for calculating the spatial linearity based on the segmental local coordinate system are as follows: B1. Establish a right-handed local coordinate system with the center of the front end face of the segment as the origin, the X-axis along the bridge direction as the X-axis, the Y-axis along the bridge direction as the Y-axis, and the Z-axis along the vertical direction as the Z-axis; B2. Convert the coordinates of the steel strand control points in the global coordinate system to relative coordinates in the local coordinate system; B3. A continuous prestressed spatial path curve is generated by interpolation calculation in the local coordinate system.

6. The method for rapid digital deployment of embedded parts in segmental beams according to claim 1, characterized in that: Step S3 also includes template adaptive adjustment, the specific steps of which are as follows: C1. When a segment is identified as a double-sided variable-width segment, the lateral offset auxiliary line in the parameterized template is scaled proportionally according to the ratio of the current end width to the standard end width of the segment. C2. When a segment is identified as a unilaterally widened segment, the unilateral lateral offset auxiliary line in the parameterized template is linearly corrected according to the width difference of the widened side. C3. When a segment is identified as a variable height segment, the vertical positioning coordinates in the parameterized template are linearly corrected according to the change in beam height.

7. The method for rapid digital deployment of embedded parts in segmental beams according to claim 1, characterized in that: It also includes collision detection and automatic avoidance; After generating the embedded part model, call Allplan's solid Boolean operation interface to detect the interference volume between the embedded part entity and the prestressed duct entity; If the detected interference volume is greater than the preset tolerance threshold, the spatial position or rotation angle of the embedded part will be automatically adjusted until the interference is eliminated.

8. A digital rapid deployment system for embedded parts in segmental beams, and a digital rapid deployment method for embedded parts in segmental beams according to any one of claims 1-7, characterized in that: include: The geometry recognition module is used to analyze the segmental beam IFC model and extract geometric dimensions and feature identifiers; The embedded parts layout module has a built-in parametric template library, which is used to call templates and generate model entities according to the layout rules; The prestress generation module is used to analyze prestress parameters, calculate spatial paths, and generate pipe models. The data output module is used to summarize and export the bill of materials and coordinate data.

9. The digital rapid deployment system for segmental beam embedded parts according to claim 8, characterized in that: The geometry recognition module is configured to traverse the geometric patch information of the IFC model, identify the polygonal contour features of the segment end face, automatically calculate the segment length, top plate width and bottom plate width, and determine whether there is a thickened middle crossbeam segment or an end crossbeam segment by using the patch normal vector and thickness features.

10. The digital rapid deployment system for segmental beam embedded parts according to claim 8, characterized in that: The embedded parts layout module supports dynamic instantiation of templates; For the pre-embedded steel bars of the guardrail, the number of instantiations in the segment is automatically calculated based on the segment length and the preset layout spacing, and an array model with equal spacing is generated on the template reference line. For pre-embedded pipes for ventilation holes or drainage holes, the length of the pre-embedded pipe extending out of the beam surface is automatically adjusted according to the pipe wall thickness.

11. The digital rapid deployment system for segmental beam embedded parts according to claim 8, characterized in that: The prestress generation module is also used to identify the segment splice locations of longitudinal prestressed ducts with two or more segments, and to generate a duct butt joint model at the splice.

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