Railway bridge construction modeling and deepening design method facing whole life cycle

Abstract

The present disclosure relates to a full-life-cycle-oriented railway bridge construction modeling and deepening design method. The method comprises: obtaining configuration parameters for generating a bridge construction three-dimensional model, generating a plurality of sub-models according to the configuration parameters and a preset section template associated with the configuration parameters; generating a prestressed steel tendon model and an anchor model at a preset position of the cast-in-place box girder model according to first parameter information, a preset tensioning embedded constraint condition and steel tendon configuration parameters; generating a longitudinal reinforcement model according to longitudinal reinforcement parameter information and generating a stirrup model according to stirrup parameter information; obtaining a plurality of vertical reinforcement installation positions and corresponding height parameters from the configuration parameters, and generating a corresponding vertical reinforcement model at each vertical reinforcement installation position according to the height parameters corresponding to the steel reinforcement initial intelligent line and the plurality of vertical reinforcement installation positions; and generating a bridge construction three-dimensional model according to the plurality of sub-models. The present scheme improves the convenience of generating a bridge construction three-dimensional model.

Description

Technical Field

[0001] This disclosure relates to the field of bridge modeling technology, and in particular to a method for construction modeling and detailed design of railway bridges throughout their entire life cycle. Background Technology

[0002] In related technologies, to construct bridges more efficiently and accurately, it is usually necessary to pre-build a 3D model of the bridge construction, and then carry out construction based on the 3D model. However, existing methods for building 3D bridge construction models mostly rely excessively on manual labor. The operation process is complex, which leads to high requirements for the personnel building the 3D models. In addition, if the complex model building process relies too much on manual labor, it will result in low efficiency and be prone to errors, affecting the accuracy of the bridge construction model. Summary of the Invention

[0003] To overcome the problems existing in related technologies, this disclosure provides a method for railway bridge construction modeling and detailed design oriented towards the entire life cycle.

[0004] According to a first aspect of the present disclosure, a method for construction modeling and detailed design of railway bridges oriented towards the entire life cycle is provided, including:

[0005] Obtain the configuration parameters used to generate the 3D model of the bridge construction;

[0006] Based on the configuration parameters and the preset cross-section template associated with the configuration parameters, precast beam models, cast-in-place box girder models, segmental beam models, bridge deck models, pier models, and abutment models are generated respectively; the configuration parameters include the first parameter information, steel strand configuration parameters, longitudinal reinforcement parameter information, and stirrup parameter information of the cast-in-place box girder model;

[0007] Based on the first parameter information, the preset tensioning and pre-embedded constraint conditions, and the steel strand configuration parameters, a prestressed steel strand model and an anchor model associated with the prestressed steel strand model are generated at the preset position of the cast-in-place box girder model.

[0008] Based on the longitudinal reinforcement parameter information, a longitudinal reinforcement model is generated in the pier model; based on the stirrup parameter information, a stirrup model is generated in the pier model.

[0009] Obtain the initial smart line of the steel reinforcement for the bridge block 0 model input by the user, obtain multiple vertical steel reinforcement installation positions and corresponding height parameters from the configuration parameters, and generate corresponding vertical steel reinforcement models at each vertical steel reinforcement setting position according to the initial smart line of the steel reinforcement and the height parameters corresponding to the multiple vertical steel reinforcement setting positions.

[0010] Based on the precast beam model, cast-in-place box girder model, segmental beam model, bridge deck model, pier model, abutment model, prestressed steel strand model, anchorage model, stirrup model, and stirrup model, the three-dimensional model of bridge construction is generated.

[0011] According to a second aspect of the present disclosure, a railway bridge construction modeling and detailed design apparatus oriented towards the entire life cycle is provided, comprising:

[0012] The acquisition unit is used to acquire configuration parameters for generating a three-dimensional model of bridge construction.

[0013] The first generation unit is used to generate a precast beam model, a cast-in-place box girder model, a segmental beam model, a bridge deck model, a pier model, and an abutment model respectively based on the configuration parameters and the preset cross-section template associated with the configuration parameters; the configuration parameters include the first parameter information, steel strand configuration parameters, longitudinal reinforcement parameter information, and stirrup parameter information of the cast-in-place box girder model;

[0014] The second generation unit is used to generate a prestressed steel strand model and an anchor model associated with the prestressed steel strand model at a preset position of the cast-in-place box girder model based on the first parameter information, the preset tensioning and pre-embedded constraint conditions and the steel strand configuration parameters.

[0015] The third generation unit is used to generate a longitudinal reinforcement model in the pier model based on the longitudinal reinforcement parameter information, and to generate a stirrup model in the pier model based on the stirrup parameter information.

[0016] The fourth generation unit is used to obtain the initial smart line of the steel reinforcement for the bridge block 0 model input by the user, obtain multiple vertical steel reinforcement installation positions and corresponding height parameters from the configuration parameters, and generate corresponding vertical steel reinforcement models at each vertical steel reinforcement setting position according to the initial smart line of the steel reinforcement and the height parameters corresponding to the multiple vertical steel reinforcement setting positions.

[0017] The fifth generation unit is used to generate the three-dimensional model of bridge construction based on the precast beam model, cast-in-place box girder model, segmental beam model, bridge deck model, pier model, abutment model, prestressed steel strand model, anchorage model, stirrup model, and stirrup model.

[0018] According to a third aspect of the present disclosure, an electronic device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, implements the method as described in any one of the first aspects.

[0019] According to a fourth aspect of the present disclosure, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the method as described in any one of the first aspects.

[0020] According to a fifth aspect of the present disclosure, a computer program product is provided, including a computer program that, when executed by a processor, implements the method as described in any one of the first aspects.

[0021] The technical solutions provided by the embodiments of this disclosure may include the following beneficial effects: obtaining configuration parameters for generating a three-dimensional model of bridge construction; generating precast beam models, cast-in-place box girder models, segmental beam models, bridge deck models, pier models, and abutment models respectively based on the configuration parameters and preset cross-section templates associated with the configuration parameters; generating prestressed steel strand models and anchorage models associated with the prestressed steel strand models at preset positions in the cast-in-place box girder model based on first parameter information, preset tensioning and embedded constraint conditions, and steel strand configuration parameters; generating longitudinal reinforcement models in the pier model based on longitudinal reinforcement parameter information, and generating stirrup models in the pier model based on stirrup parameter information; obtaining user-inputted initial intelligent reinforcement parameters for the bridge block 0 model. The system obtains multiple vertical rebar installation positions and corresponding height parameters from the configuration parameters. Based on the initial intelligent line of the rebar and the height parameters corresponding to the multiple vertical rebar setting positions, it generates corresponding vertical rebar models at each vertical rebar setting position. Based on the precast beam model, cast-in-place box girder model, segmental beam model, bridge deck model, pier model, abutment model, prestressed steel strand model, anchorage model, stirrup model, and stirrup model, it generates a three-dimensional bridge construction model. This realizes the generation of a three-dimensional bridge construction model based on configuration information and preset cross-section templates, improves the convenience of generating a three-dimensional bridge construction model, reduces the difficulty of building a three-dimensional bridge construction model, and thus improves the accuracy and efficiency of building a three-dimensional bridge construction model.

[0022] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit this disclosure. Attached Figure Description

[0023] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0024] Figure 1 This is a flowchart illustrating a construction modeling and detailed design method for railway bridges throughout their entire lifecycle, based on an exemplary embodiment.

[0025] Figure 2 This is a block diagram illustrating a railway bridge construction modeling and detailed design device oriented towards the entire life cycle, according to an exemplary embodiment.

[0026] Figure 3 This is a block diagram illustrating an apparatus for a method of construction modeling and detailed design of railway bridges throughout their entire lifecycle, according to an exemplary embodiment. Detailed Implementation

[0027] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numerals in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of apparatuses and methods consistent with some aspects of the invention as detailed in the appended claims.

[0028] The terminology used in this disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the present disclosure. The singular forms “a” and “the” as used in this disclosure and the appended claims are also intended to include the plural forms, unless the context clearly indicates otherwise.

[0029] It should be understood that although the terms first, second, third, etc., may be used to describe various information in embodiments of this disclosure, such information should not be limited to these terms. These terms are only used to distinguish information of the same type from one another. For example, first information may also be referred to as second information without departing from the scope of embodiments of this disclosure, and similarly, second information may also be referred to as first information. Depending on the context, the words “if” and “suppose” as used herein may be interpreted as “when”, “when”, or “in response to a determination”.

[0030] Furthermore, various forms of processes shown in the embodiments of this disclosure can be used to reorder, add, or delete steps. For example, the steps described in this application can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution disclosed in this disclosure can be achieved, and no limitation is imposed herein.

[0031] In related technologies, to construct bridges more efficiently and accurately, it is usually necessary to pre-build a 3D model of the bridge construction, and then carry out construction based on the 3D model. However, existing methods for building 3D bridge construction models mostly rely excessively on manual labor. The operation process is complex, which leads to high requirements for the personnel building the 3D models. In addition, if the complex model building process relies too much on manual labor, it will result in low efficiency and be prone to errors, affecting the accuracy of the bridge construction model.

[0032] To address the aforementioned issues, this disclosure provides a method for railway bridge construction modeling and detailed design throughout its entire lifecycle. This method involves: acquiring configuration parameters for generating a 3D bridge construction model; generating precast beam models, cast-in-place box girder models, segmental beam models, bridge deck models, pier models, and abutment models based on the configuration parameters and associated preset cross-section templates; generating prestressed steel strand models and associated anchorage models at preset locations in the cast-in-place box girder model based on first parameter information, preset tensioning and embedded constraint conditions, and steel strand configuration parameters; generating longitudinal reinforcement models and stirrup models in the pier model based on longitudinal reinforcement parameter information; and acquiring user-input parameters for the bridge's No. 0 block model. The system uses an initial intelligent line for rebar installation to obtain multiple vertical rebar installation positions and corresponding height parameters from configuration parameters. Based on the initial intelligent line and the height parameters corresponding to the multiple vertical rebar installation positions, it generates corresponding vertical rebar models at each vertical rebar installation position. Furthermore, it generates a 3D bridge construction model based on precast beam models, cast-in-place box girder models, segmental beam models, bridge deck models, pier models, abutment models, prestressed steel strand models, anchorage models, stirrup models, and stirrup models. This enables the generation of a 3D bridge construction model based on configuration information and preset cross-section templates, improving the convenience of generating 3D bridge construction models, reducing the difficulty of building 3D bridge construction models, and ultimately enhancing the accuracy and efficiency of 3D bridge construction model building.

[0033] Figure 1 This is a flowchart illustrating a method for construction modeling and detailed design of railway bridges throughout their entire lifecycle, based on an exemplary embodiment. Figure 1 As shown, it should be noted that the railway bridge construction modeling and detailed design method oriented towards the entire life cycle of this disclosure is applied to the railway bridge construction modeling and detailed design device oriented towards the entire life cycle. For example... Figure 1 As shown, the method may include the following steps:

[0034] Step 101: Obtain the configuration parameters used to generate the three-dimensional model of bridge construction.

[0035] In this embodiment of the disclosure, the above configuration parameters can be preset by the user according to actual needs.

[0036] Step 102: Based on the configuration parameters and the preset cross-section template associated with the configuration parameters, generate the precast beam model, cast-in-place box girder model, segmental beam model, bridge deck model, pier model, and abutment model respectively.

[0037] The configuration parameters include the first parameter information, steel strand configuration parameters, longitudinal reinforcement parameter information, and stirrup parameter information of the cast-in-place box girder model.

[0038] It is understandable that the cross-section template can be a template for the cross-section of a three-dimensional model, or a template for a two-dimensional drawing formed by the cross-section. Since most structural component models in a bridge can be obtained by extruding the cross-section shape, cross-section templates corresponding to different models can be stored in advance. When a model needs to be generated, the corresponding cross-section template can be extracted, and the model can be extruded according to the preset size parameters and other configuration parameters to obtain the required model.

[0039] In some embodiments of this disclosure, the cross-sectional template of a segmental beam can be generated in the following manner:

[0040] Input the cross-sectional parameters of the standard segmental beam: cross-section parameters, side guardrail parameters, middle guardrail parameters, and cross slope; input the cross-sectional parameters of the equal-height thickened segmental beam: cross-section parameters, side guardrail parameters, middle guardrail parameters, cross slope, thickening, and chamfer parameters; input the cross-sectional parameters of the variable-height segmental beam: cross-section parameters (including top web chamfer, web slope, etc.), side guardrail parameters, middle guardrail parameters, and cross slope; input the cross-sectional names of the standard segment, equal-height thickened segment, and variable-height segmental beam respectively;

[0041] Based on the drawing rules for cross-sections of standard sections, equal-height thickened sections, and variable-height sections of segmental beams, and according to the input parameters mentioned above, graphic drawing and inter-graphic intersection calculations are performed to generate cross-section graphics.

[0042] Store the design data in the cross-sectional graphic;

[0043] Save the cross-section template in the segmental beam cross-section template library.

[0044] In some embodiments of this disclosure, a T-beam model can be generated as follows: In the prefabricated T-beam editor, input general settings, T-beam mid-span, end, diaphragm cross-sectional information, elevation information, continuous end information, and tooth block size settings to obtain all physical dimension information for creating the T-beam model. Based on the total width of the bridge deck and the number of beam segments, calculate the start and end coordinates of the centerline of each beam segment. Extrude along the centerline of each beam segment according to the T-beam mid-span cross-section to obtain the initial T-beam body. Based on the T-beam end, diaphragm settings, elevation, and other information, create other bodies or trim or merge them with the initial T-beam body to obtain the final T-beam body model. Create wet joint models between adjacent T-beam models. First, obtain the relative side profiles of adjacent T-beams, and extrude the wet joint models according to the two profiles. Store all T-beam models and wet joint models together in the newly created T-beam model, and convert all information in the T-beam editor into strings, binding them to the model using attribute patterns.

[0045] In some embodiments of this disclosure, a bridge plan model can be generated in the following manner: obtaining a preset bridge starting station number, basic bridge parameters, and the route where the bridge is located; generating a bridge plan sub-model based on the aforementioned basic parameters; and generating a bridge plan model based on the bridge plan sub-model, the route where the bridge is located, and the bridge starting station number.

[0046] For example, you can obtain preset bridge elements and the left and right sides of the bridge, set the starting mileage for placement in the interactive interface, select the desired bridge deck cross-section template from the bridge deck template library, and set the cross-section placement spacing. Match the edges with points in the bridge deck cross-section template. Extrude the bridge deck cross-section along the route to generate a 3D model of the bridge deck.

[0047] The specific steps for generating a 3D model of the bridge deck by stretching the cross-section of the bridge deck along the route are as follows:

[0048] For each mileage node, a two-dimensional cross-section of the bridge deck is drawn in the XY plane where the mileage node is located, with the origin (X=0, Y=0) as the base point; the two-dimensional cross-section of the bridge deck is moved to the corresponding mileage position on the route; the bridge deck cross-section is rotated around the X and Z axes to make it oriented in the actual direction; the lateral and vertical offset data of the selected edge line relative to the route in the bridge deck cross-section are obtained at the current mileage; the bridge deck cross-section is adjusted according to the above lateral and vertical offset data.

[0049] Based on all the placed bridge deck cross-sections, a layout is performed to generate the bridge deck paving entity.

[0050] In one embodiment, a segmental beam model can be generated as follows: Select the route model, select the starting mileage and ending mileage, and input the segment division and longitudinal profile settings (including starting mileage, length, template name, transition type, parabolic exponent) and hollow segment settings (including the distance from the starting point of the hollow section to the starting point of the variable height section, the thickness of the bottom plate at the starting point of the hollow section, the thickness of the bottom plate at the ending point of the hollow section, and the distance from the ending point of the hollow section to the center of the pier). Place the corresponding cross-section templates at each stage sequentially and extrude them along the route to generate a three-dimensional model. Adjust the bottom plate thickness of the three-dimensional model along the route according to the longitudinal profile settings, and perform gradual transition processing at abrupt change locations. Adjust the top and bottom plate parameters of the variable height section model along the route according to the hollow segment settings to achieve continuous changes in the cavity, while simultaneously performing chamfering.

[0051] In some embodiments of this disclosure, the preset cross-section template is obtained from a pre-built bridge model library; the model library includes any one or more of the following: a cast-in-place box girder cross-section template library, a bridge deck template library, a precast T-beam model library, and bridge piers.

[0052] As one example of a possible implementation, a hierarchical table of bridge structures can be generated. Upon system startup, the data in this table is loaded to obtain the bridge structural hierarchy information. Model structure tree information is configured for each bridge component, including: primary node type, secondary node type, node name, and corresponding modeling process. After the model structure tree configuration is completed, subsequent bridge modeling can synchronously generate the model structure tree by combining the configuration information with the modeling process. This facilitates quick searching and manipulation of local components.

[0053] Step 103: Based on the first parameter information, the preset tensioning and pre-embedded constraint conditions, and the steel strand configuration parameters, generate a prestressed steel strand model and an anchor model associated with the prestressed steel strand model at a preset position of the cast-in-place box girder model.

[0054] It should be noted that the preset tensioning and pre-embedded constraints can be based on relevant tensioning and pre-embedded specifications and standards.

[0055] In one embodiment of this disclosure, based on the parameter information and cross-sectional dimensions of the cast-in-place box girder model, and according to the tensioning pre-embedded constraint conditions, parameters are set for three different types of steel strands: top slab steel strands, web steel strands, and bottom slab steel strands. For each type of steel strand, the location of each strand is further determined according to the cross-sectional dimensions of the end, mid-span, and continuous ends of the cast-in-place box girder model. Horizontal and vertical bending parameters of the steel strands are set. For each type of steel strand, based on the collision relationship between the steel strand and the reinforcing bars, and according to specifications, the spatial coordinates of each steel strand's path within the mileage range of the box girder model are calculated, and a prestressed steel strand model is generated based on these spatial coordinates. Parameters for the tensioning grooves and teeth at the left and right ends of the steel strands are set, and the anchorage model to be placed is selected. Tensioning groove models and toothed block models are sequentially created at both ends of the steel strand based on the parameters of the tensioning grooves and teeth, and the anchorage model to be placed is placed based on the positions of the tensioning groove models and toothed block models.

[0056] In one embodiment, steel strand nodes can be added under the corresponding bridge structure tree and the corresponding connection node to form a complete steel strand structure tree, and corresponding attributes can be bound to the steel strand model.

[0057] Step 104: Generate a longitudinal reinforcement model in the pier model based on the longitudinal reinforcement parameter information, and generate a stirrup model in the pier model based on the stirrup parameter information.

[0058] In some embodiments of this disclosure, step 104, generating the longitudinal reinforcement model in the pier model based on the longitudinal reinforcement parameter information, may specifically include the following steps:

[0059] Step a1: Select the target bridge pier model and obtain the top and bottom contour lines of the target bridge pier model.

[0060] Step a2: Determine the first starting point of the first longitudinal rib on the top surface outline and the first ending point of the first longitudinal rib on the bottom surface outline.

[0061] Step a3: Generate the longitudinal reinforcement model of the first longitudinal reinforcement based on the first starting point and the first ending point.

[0062] In one embodiment, the line connecting the first starting point and the first ending point can be determined as the trajectory line of the first longitudinal reinforcement, and a longitudinal reinforcement model can be generated based on the preset longitudinal reinforcement parameter information and the trajectory line.

[0063] For example, longitudinal reinforcement parameter information may include reinforcement specifications, protective layer thickness, longitudinal reinforcement spacing, starting end extension length, ending end extension length, starting hook information, and ending hook information.

[0064] It should be noted that the longitudinal reinforcement model can be perpendicular to the centerline of the pier model, that is, the longitudinal reinforcement model is parallel to the pier model.

[0065] Step a4: Obtain the longitudinal reinforcement protective layer thickness from the longitudinal reinforcement parameter information, and translate the longitudinal reinforcement model towards the axis of the target pier model according to the longitudinal reinforcement protective layer thickness to obtain the translated longitudinal reinforcement model.

[0066] Understandably, the longitudinal reinforcement model should be set inside the pier model, rather than on the outer surface of the pier model. Therefore, after generating the longitudinal reinforcement model based on the top and bottom contours of the target pier model, it is necessary to translate the longitudinal reinforcement model towards the axis of the target pier model according to the thickness of the longitudinal reinforcement protective layer to obtain the translated longitudinal reinforcement model.

[0067] Step a5: Generate a three-dimensional point set of longitudinal reinforcement positions according to the arrangement parameters of the longitudinal reinforcement model in the longitudinal reinforcement parameter information and the position information of the translated longitudinal reinforcement model.

[0068] It is understandable that multiple longitudinal reinforcement bars need to be set in a bridge pier to ensure that the bridge pier has sufficient support capacity. The arrangement of multiple longitudinal reinforcement bar models in the same bridge pier can be set in advance, that is, the arrangement parameters mentioned above.

[0069] In one embodiment, the placement position of each longitudinal reinforcement model in the pier model is determined according to the arrangement parameters of the longitudinal reinforcement model in the longitudinal reinforcement parameter information and the position information of the translated longitudinal reinforcement model, and the three-dimensional point set of the longitudinal reinforcement position is obtained according to the placement position.

[0070] Step a6: For each three-dimensional point coordinate in the three-dimensional point set of the longitudinal reinforcement location, determine the top and bottom elevations of the pier model corresponding to the three-dimensional point coordinates.

[0071] It is understandable that the top and bottom surfaces of the bridge pier model are not horizontal, and there may be different elevations in different areas of the top surface or ground. The elevation of the longitudinal reinforcement needs to be adapted to the elevation of the top and bottom surfaces of the bridge pier model.

[0072] Therefore, for each three-dimensional point coordinate in the three-dimensional point set of the longitudinal reinforcement location, it is necessary to determine the top and bottom elevations of the pier model corresponding to the three-dimensional point coordinates.

[0073] Step a7: For each three-dimensional point set, generate the longitudinal reinforcement model corresponding to the three-dimensional point set based on the three-dimensional point set and the corresponding top and bottom elevations.

[0074] In one embodiment, the position, top elevation, and bottom elevation of each longitudinal reinforcement model are determined based on the three-dimensional point set and the corresponding top and bottom elevations of the three-dimensional point set, thereby generating the longitudinal reinforcement model corresponding to the coordinates of each three-dimensional point in the three-dimensional point set. That is, the top elevation of each longitudinal reinforcement model corresponds to the top elevation of its location, and the bottom elevation of each longitudinal reinforcement model corresponds to the bottom elevation of its location.

[0075] In some embodiments of this disclosure, step 104, generating a stirrup model in the pier model based on the stirrup parameter information, may specifically include the following steps:

[0076] Step b1: In response to receiving an instruction to generate a stirrup model in the target pier model, the top surface contour line or the bottom surface contour line is determined as the initial contour line of the stirrup.

[0077] It is understandable that the stirrups of the bridge are ring-shaped and set perpendicular to the longitudinal bars. Therefore, the initial outline of the stirrups can be determined based on the top outline or the bottom outline.

[0078] Step b2: Obtain the location information of the longitudinal reinforcement model, the stirrup radius parameter in the configuration parameters, and the protective layer thickness information.

[0079] Step b3: According to the stirrup radius parameters and the position information of the longitudinal reinforcement model, the initial contour line is shrunk inward to obtain the target contour line.

[0080] It is understandable that the stirrups need to be placed inside the pier model. Therefore, the initial outline can be shrunk inward according to the stirrup radius parameters and the position information of the longitudinal reinforcement model to obtain the target outline.

[0081] Step b4: Generate the first stirrup model based on the protective layer thickness information and the target contour line.

[0082] Step b5: Obtain the stirrup elevation configuration parameters and the elevation information of the pier model from the configuration parameters, and determine the elevation of each of the multiple second stirrup models to be generated in the pier model.

[0083] Step b6: Generate multiple second stirrup models according to the respective elevations of the first stirrup model and the second stirrup model.

[0084] In one embodiment, the number of stirrup models to be configured in the pier model and the elevation of each stirrup model can be determined based on the elevation information of the pier model and the stirrup elevation configuration parameters. Multiple second stirrup models are generated according to the respective elevations of the first stirrup model and the second stirrup model.

[0085] Step 105: Obtain the initial smart line for the steel reinforcement of the bridge block 0 model input by the user; obtain multiple vertical steel reinforcement installation positions and corresponding height parameters from the configuration parameters; and generate corresponding vertical steel reinforcement models at each vertical steel reinforcement setting position according to the initial smart line for the steel reinforcement and the height parameters corresponding to the multiple vertical steel reinforcement setting positions.

[0086] It should be noted that the length and position of the smart line can be adjusted according to the location of the rebar, so that users only need to draw the smart line once to generate multiple vertical rebar models that can adapt to different locations (i.e., different length requirements), which greatly reduces the user's operation steps and improves the convenience and efficiency of model generation.

[0087] In some embodiments of this disclosure, generating a corresponding vertical reinforcement model at each vertical reinforcement setting position based on the initial intelligent line of the reinforcement and the height parameters corresponding to the multiple vertical reinforcement setting positions may include the following steps:

[0088] For each vertical rebar, an initial smart line for the rebar is placed at its designated location;

[0089] According to the height parameters corresponding to the vertical reinforcement setting positions, the elevation parameters of the initial smart line of the reinforcement in the pier model are adjusted to obtain the reinforcement trajectory line corresponding to the vertical reinforcement setting positions;

[0090] Based on the rebar trajectory line, a vertical rebar model is generated at the location where the vertical rebar is set.

[0091] In one embodiment, for each vertical rebar setting position, an initial smart line for the rebar is placed, which is equivalent to generating an initial rebar trajectory line at the target position. According to the height parameter corresponding to the vertical rebar setting position, the elevation parameter of the initial smart line for the rebar in the pier model is adjusted, that is, the top elevation and bottom elevation of the initial smart line for the rebar are adjusted to adapt to the length requirements of the vertical rebar at different positions. Based on the rebar trajectory line, a vertical rebar model is generated at the vertical rebar setting position.

[0092] Step 106: Generate the three-dimensional model of bridge construction based on the precast beam model, cast-in-place box girder model, segmental beam model, bridge deck model, pier model, abutment model, prestressed steel strand model, anchorage model, stirrup model, and stirrup model.

[0093] In one embodiment, a three-dimensional bridge construction model can be obtained by assembling a precast beam model, a cast-in-place box girder model, a segmental beam model, a bridge deck model, a pier model, an abutment model, a prestressed steel strand model, an anchorage model, a stirrup model, and a stirrup model according to preset positional relationship conditions. Alternatively, multiple models can be generated one by one according to the preset positional relationship conditions to finally obtain a three-dimensional bridge construction model.

[0094] In some embodiments of this disclosure, after step 106, the method may further include the following steps:

[0095] Step c1: Obtain parameter information of the device model or functional space to be configured.

[0096] In one embodiment, the model to be configured can be any one or more of the following models:

[0097] Models for personnel passageways, vibration passageways, ventilation openings, and space for placing spare prestressed steel strands.

[0098] Step c2: Determine the target location and target size of the device model to be configured or the functional space to be configured based on the parameter information.

[0099] The target location is the position in the three-dimensional model of the bridge construction.

[0100] Step c3: The bridge construction 3D model is trimmed at the target location to obtain a reserved space corresponding to the target size.

[0101] The reserved space is used to place the device model to be configured or to configure the functional space to be configured.

[0102] In some embodiments of this disclosure, after step c3, the method may further include the following steps:

[0103] Step d1: Determine the type of the reserved space;

[0104] Step d2: If the type meets the preset conditions, obtain the rebar path corresponding to the rebar associated with the reserved space;

[0105] Step d3: The reserved space is identified as an obstacle, and the rebar path is replanned based on the obstacle to obtain the planned rebar path;

[0106] Step d4: Update the rebar model according to the planned rebar path.

[0107] In one embodiment, if the type of reserved space meets the preset conditions, such as if the reserved space is a passageway model for personnel passage, the steel reinforcement in the area where the reserved space is located needs to be replanned so as to reserve passageway space while ensuring the stability of the bridge.

[0108] In some embodiments of this disclosure, after step c3, the method may further include the following steps:

[0109] Obtain a temporary construction model associated with the reserved space;

[0110] The temporary construction model is adjusted according to the configuration parameters of the reserved space.

[0111] In one embodiment, a corresponding temporary construction model, such as a temporary support model, is configured in the 3D model of bridge construction according to actual needs. After a new reserved space is generated in the model, the requirements for the temporary construction model will also change. Therefore, it is necessary to obtain the temporary construction model associated with the reserved space and adjust the temporary construction model according to the configuration parameters of the reserved space, so as to avoid unreasonable problems caused by the generation of the reserved space and affect the rationality of the model construction.

[0112] In some embodiments of this disclosure, after step 106, the method may further include the following steps:

[0113] Determine the construction model of the sensor model to be placed; the construction model is a sub-model in the construction 3D model;

[0114] Obtain the face or line of the model to be placed in the constructed model;

[0115] Based on any one or more of the detection object, detection head, and detection mileage of the sensor model to be placed, determine the installation position and placement direction of the sensor model on the surface or line;

[0116] The sensor model is placed in the construction model according to the installation location and the placement direction.

[0117] It should be noted that a large number of sensors need to be set in the 3D model of the bridge construction. These sensors are used to collect relevant data during the bridge construction process. Since there are many sensors and there are certain requirements for their placement, the sensor model needs to be placed reasonably according to the preset conditions.

[0118] In one embodiment, the sensor model to be placed can be determined based on preset sensor model types, quantities, and placement parameters, as well as the construction model of the sensor model to be placed in the construction 3D model. The surface or line where the sensor model to be placed is obtained in the construction model. Based on any one or more of the detection object, detection head, and detection mileage of the sensor model to be placed, the installation position and placement direction of the sensor model on the surface or line are determined. That is, the sensor model should not intersect with other models, and the probe of the sensor model should be able to be aligned with the object to be detected. The sensor model is then placed in the construction model according to the installation position and the placement direction.

[0119] In some embodiments of this disclosure, a model structure tree can be displayed on the interactive interface of the terminal device. By selecting the bridge component model involved in this material cutting, the system automatically obtains all the steel reinforcement models corresponding to the selected bridge component model. Based on the steel reinforcement parameters bound to each type of steel reinforcement for each bridge component, preliminary steel reinforcement cutting information is generated and displayed on the interactive interface. Each piece of cutting information is modified, merged, and split to form the final steel reinforcement cutting list. Data is converted according to the data format required by the platform system connected to the intelligent steel reinforcement processing equipment, exported to the platform system connected to the intelligent processing equipment, and the returned information is obtained, completing the data transmission of the steel reinforcement cutting list. The platform system connected to the intelligent processing equipment is then operated to perform intelligent processing of the steel reinforcement.

[0120] In other embodiments of this disclosure, custom attribute information can be defined, and an Excel table containing the attribute information of all bridge component models can be exported. Construction information can be added to the table, and construction attributes can be bound to each bridge component model using the import construction attribute function. Following the data format requirements of the construction management platform, the attribute information of all models is exported and imported into the construction management platform along with the bridge BIM model. On the construction management platform, the imported attribute data is parsed and matched with the imported bridge component models. Each bridge component model is connected to equipment (e.g., concrete pouring equipment). The equipment reads construction information (e.g., the quantity of concrete to be poured) from the BIM model, inputs setting information (e.g., pouring steps, pouring speed, alarm conditions, termination conditions, etc.), and, in conjunction with on-site construction (e.g., pouring) related sensing and detection devices, performs the entire construction (e.g., pouring) process, saving and exporting the entire construction (e.g., pouring) process information and monitoring information for retrospective review, inspection, and delivery.

[0121] According to the railway bridge construction modeling and detailed design method for the entire life cycle proposed in this disclosure, the following steps are taken: First, configuration parameters for generating a three-dimensional bridge construction model are obtained. Based on these configuration parameters and a preset cross-section template associated with them, precast beam models, cast-in-place box girder models, segmental beam models, bridge deck models, pier models, and abutment models are generated. Second, based on first parameter information, preset tensioning and embedded constraint conditions, and steel strand configuration parameters, a prestressed steel strand model and an anchorage model associated with the prestressed steel strand model are generated at preset positions in the cast-in-place box girder model. Third, based on longitudinal reinforcement parameter information, a longitudinal reinforcement model is generated in the pier model, and based on stirrup parameter information, a stirrup model is generated in the pier model. Finally, the steel strand parameters for the bridge's No. 0 block model are obtained from user input. The initial intelligent line for reinforcement obtains multiple vertical reinforcement installation positions and corresponding height parameters from the configuration parameters. Based on the initial intelligent line for reinforcement and the height parameters corresponding to the multiple vertical reinforcement setting positions, a corresponding vertical reinforcement model is generated at each vertical reinforcement setting position. Based on the precast beam model, cast-in-place box girder model, segmental beam model, bridge deck model, pier model, abutment model, prestressed steel strand model, anchorage model, stirrup model, and stirrup model, a three-dimensional bridge construction model is generated. This realizes the generation of a three-dimensional bridge construction model based on configuration information and preset cross-section templates, improves the convenience of generating a three-dimensional bridge construction model, reduces the difficulty of building a three-dimensional bridge construction model, and thus improves the accuracy and efficiency of building a three-dimensional bridge construction model.

[0122] Figure 2 This is a block diagram of a railway bridge construction modeling and detailed design device oriented towards the entire life cycle, according to an exemplary embodiment. (Refer to...) Figure 2The device includes an acquisition unit 201, a first generation unit 202, a second generation unit 203, a third generation unit 204, a fourth generation unit 205, and a fifth generation unit 206.

[0123] Among them, the acquisition unit 201 is used to acquire configuration parameters for generating a three-dimensional model of bridge construction;

[0124] The first generation unit 202 is used to generate a precast beam model, a cast-in-place box girder model, a segmental beam model, a bridge deck model, a pier model, and an abutment model respectively according to the configuration parameters and the preset cross-section template associated with the configuration parameters; the configuration parameters include the first parameter information, steel strand configuration parameters, longitudinal reinforcement parameter information, and stirrup parameter information of the cast-in-place box girder model;

[0125] The second generation unit 203 is used to generate a prestressed steel strand model and an anchor model associated with the prestressed steel strand model at a preset position of the cast-in-place box girder model according to the first parameter information, the preset tensioning and pre-embedded constraint conditions and the steel strand configuration parameters.

[0126] The third generation unit 204 is used to generate a longitudinal reinforcement model in the pier model according to the longitudinal reinforcement parameter information, and to generate a stirrup model in the pier model according to the stirrup parameter information.

[0127] The fourth generation unit 205 is used to obtain the initial intelligent line of the steel reinforcement for the bridge block 0 model input by the user, obtain multiple vertical steel reinforcement installation positions and corresponding height parameters from the configuration parameters, and generate corresponding vertical steel reinforcement models at each vertical steel reinforcement setting position according to the initial intelligent line of the steel reinforcement and the height parameters corresponding to the multiple vertical steel reinforcement setting positions.

[0128] The fifth generation unit 206 is used to generate the three-dimensional model of bridge construction based on the precast beam model, cast-in-place box girder model, segmental beam model, bridge deck model, pier model, abutment model, prestressed steel strand model, anchorage model, stirrup model, and stirrup model.

[0129] In some embodiments of this disclosure, the third generation unit 204 may specifically be used for:

[0130] Select the target bridge pier model and obtain the top and bottom contour lines of the target bridge pier model;

[0131] The first starting point of the first longitudinal rib is determined on the top surface outline line, and the first ending point of the first longitudinal rib is determined on the bottom surface outline line.

[0132] Generate the longitudinal reinforcement model of the first longitudinal reinforcement based on the first starting point and the first ending point;

[0133] Obtain the longitudinal reinforcement protective layer thickness from the longitudinal reinforcement parameter information, and translate the longitudinal reinforcement model towards the axis of the target pier model according to the longitudinal reinforcement protective layer thickness to obtain the translated longitudinal reinforcement model;

[0134] Based on the arrangement parameters of the longitudinal reinforcement model in the longitudinal reinforcement parameter information and the position information of the translated longitudinal reinforcement model, a three-dimensional point set of longitudinal reinforcement position is generated.

[0135] For each three-dimensional point coordinate in the three-dimensional point set of the longitudinal reinforcement location, determine the top surface elevation and bottom surface elevation of the pier model corresponding to the three-dimensional point coordinates;

[0136] For each three-dimensional point set, a longitudinal reinforcement model corresponding to the three-dimensional point set is generated based on the three-dimensional point set and the corresponding top and bottom elevations.

[0137] In some embodiments of this disclosure, the third generation unit 204 may specifically be used for:

[0138] In response to receiving an instruction to generate a stirrup model in the target pier model, the top surface contour line or the bottom surface contour line is determined as the initial contour line of the stirrup;

[0139] Obtain the location information of the longitudinal reinforcement model, the stirrup radius parameter in the configuration parameters, and the protective layer thickness information;

[0140] According to the stirrup radius parameters and the position information of the longitudinal reinforcement model, the initial contour line is shrunk inward to obtain the target contour line;

[0141] Based on the protective layer thickness information and the target contour line, a first stirrup model is generated;

[0142] Obtain the stirrup elevation configuration parameters and the elevation information of the pier model from the configuration parameters, and determine the elevation of each of the multiple second stirrup models to be generated in the pier model;

[0143] Multiple second stirrup models are generated based on the respective elevations of the first stirrup model and the second stirrup model.

[0144] In some embodiments of this disclosure, the fourth generation unit 205 may specifically be used for:

[0145] For each vertical rebar, an initial smart line for the rebar is placed at its designated location;

[0146] According to the height parameters corresponding to the vertical reinforcement setting positions, the elevation parameters of the initial smart line of the reinforcement in the pier model are adjusted to obtain the reinforcement trajectory line corresponding to the vertical reinforcement setting positions;

[0147] Based on the rebar trajectory line, a vertical rebar model is generated at the location where the vertical rebar is set.

[0148] In some embodiments of this disclosure, the apparatus may further include:

[0149] The acquisition unit is used to acquire parameter information of the device model to be configured or the functional space to be configured;

[0150] The determining unit is used to determine the target position and target size of the equipment model to be configured or the functional space to be configured based on the parameter information; the target position is the position in the three-dimensional model of bridge construction.

[0151] The trimming unit is used to trim the three-dimensional model of the bridge construction at the target location to obtain a reserved space corresponding to the target size; the reserved space is used to place the equipment model to be configured or to configure the functional space to be configured.

[0152] In some embodiments of this disclosure, the apparatus may further include:

[0153] A determining unit is used to determine the type of the reserved space;

[0154] The acquisition unit is also used to acquire the rebar path corresponding to the rebar associated with the reserved space when the type meets the preset conditions;

[0155] The planning unit is used to identify the reserved space as an obstacle, and to replan the rebar path based on the obstacle to obtain the planned rebar path;

[0156] An update unit is used to update the rebar model based on the planned rebar path.

[0157] In some embodiments of this disclosure, the apparatus may further include:

[0158] The acquisition unit is also used to acquire a temporary construction model associated with the reserved space;

[0159] An adjustment unit is used to adjust the temporary construction model according to the configuration parameters of the reserved space.

[0160] In some embodiments of this disclosure, the apparatus may further include:

[0161] The determining unit is also used to determine the construction model of the sensor model to be placed; the construction model is a sub-model in the construction three-dimensional model;

[0162] The acquisition unit is also used to acquire the face or line of the sensor model to be placed in the constructed model;

[0163] The determining unit is also used to determine the installation position and placement direction of the sensor model on the surface or line based on any one or more of the detection object, detection head, and detection mileage of the sensor model to be placed;

[0164] A placement unit is used to place the sensor model in the construction model according to the installation position and the placement direction.

[0165] In some embodiments of this disclosure, the preset cross-section template is obtained from a pre-built bridge model library; the model library includes any one or more of the following: cast-in-place box girder cross-section template library, bridge deck template library, precast T-beam model library, bridge pier model library, and bridge abutment model library.

[0166] Regarding the apparatus in the above embodiments, the specific manner in which each module performs its operation has been described in detail in the embodiments related to the method, and will not be elaborated upon here.

[0167] According to the railway bridge construction modeling and detailed design device for the entire life cycle proposed in this disclosure, the device acquires configuration parameters for generating a three-dimensional bridge construction model; generates precast beam models, cast-in-place box girder models, segmental beam models, bridge deck models, pier models, and abutment models based on the configuration parameters and preset cross-section templates associated with the configuration parameters; generates prestressed steel strand models and anchorage models associated with the prestressed steel strand models at preset positions in the cast-in-place box girder model based on first parameter information, preset tensioning and embedded constraint conditions, and steel strand configuration parameters; generates longitudinal reinforcement models in the pier model based on longitudinal reinforcement parameter information, and generates stirrup models in the pier model based on stirrup parameter information; and acquires the steel reinforcement parameters for the bridge block 0 model input by the user. The initial intelligent line for reinforcement obtains multiple vertical reinforcement installation positions and corresponding height parameters from the configuration parameters. Based on the initial intelligent line for reinforcement and the height parameters corresponding to the multiple vertical reinforcement setting positions, a corresponding vertical reinforcement model is generated at each vertical reinforcement setting position. Based on the precast beam model, cast-in-place box girder model, segmental beam model, bridge deck model, pier model, abutment model, prestressed steel strand model, anchorage model, stirrup model, and stirrup model, a three-dimensional bridge construction model is generated. This realizes the generation of a three-dimensional bridge construction model based on configuration information and preset cross-section templates, improves the convenience of generating a three-dimensional bridge construction model, reduces the difficulty of building a three-dimensional bridge construction model, and thus improves the accuracy and efficiency of building a three-dimensional bridge construction model.

[0168] Figure 3This is a block diagram illustrating an apparatus for a method of construction modeling and detailed design of railway bridges throughout their entire lifecycle, according to an exemplary embodiment. For example, apparatus 300 may be an electronic device, such as a mobile phone, computer, digital broadcasting terminal, messaging device, game console, tablet device, medical device, fitness equipment, personal digital assistant, etc.

[0169] Reference Figure 3 The device 300 may include one or more of the following components: a processing component 302, a memory 304, a power component 306, a multimedia component 308, an audio component 310, an input / output (I / O) interface 312, a sensor component 314, and a communication component 316.

[0170] Processing component 302 typically controls the overall operation of device 300, such as operations associated with display, telephone calls, data communication, camera operation, and recording. Processing component 302 may include one or more processors 320 to execute instructions to perform all or part of the steps of the methods described above. Furthermore, processing component 302 may include one or more modules to facilitate interaction between processing component 302 and other components. For example, processing component 302 may include a multimedia module to facilitate interaction between multimedia component 308 and processing component 302.

[0171] Memory 304 is configured to store various types of data to support the operation of device 300. Examples of this data include instructions for any application or method operating on device 300, contact data, phonebook data, messages, pictures, videos, etc. Memory 304 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0172] The power supply component 306 provides power to the various components of the device 300. The power supply component 306 may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power to the device 300.

[0173] Multimedia component 308 includes a screen that provides an output interface between the device 300 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touchscreen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensors may sense not only the boundaries of the touch or swipe action but also the duration and pressure associated with the touch or swipe operation. In some embodiments, multimedia component 308 includes a front-facing camera and / or a rear-facing camera. When the device 300 is in an operating mode, such as a shooting mode or a video mode, the front-facing camera and / or the rear-facing camera may receive external multimedia data. Each front-facing camera and rear-facing camera may be a fixed optical lens system or have focal length and optical zoom capabilities.

[0174] Audio component 310 is configured to output and / or input audio signals. For example, audio component 310 includes a microphone (MIC) configured to receive external audio signals when device 300 is in an operating mode, such as call mode, recording mode, and voice recognition mode. The received audio signals may be further stored in memory 304 or transmitted via communication component 316. In some embodiments, audio component 310 also includes a speaker for outputting audio signals.

[0175] I / O interface 312 provides an interface between processing component 302 and peripheral interface modules, such as keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to, home buttons, volume buttons, power buttons, and lock buttons.

[0176] Sensor assembly 314 includes one or more sensors for providing status assessments of various aspects of device 300. For example, sensor assembly 314 may detect the on / off state of device 300, the relative positioning of components such as the display and keypad of device 300, changes in the position of device 300 or a component of device 300, the presence or absence of user contact with device 300, the orientation or acceleration / deceleration of device 300, and temperature changes of device 300. Sensor assembly 314 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. Sensor assembly 314 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, sensor assembly 314 may also include an accelerometer, a gyroscope, a magnetometer, a pressure sensor, or a temperature sensor.

[0177] Communication component 316 is configured to facilitate wired or wireless communication between device 300 and other devices. Device 300 can access wireless networks based on communication standards, such as WiFi, 2G, or 3G, or combinations thereof. In one exemplary embodiment, communication component 316 receives broadcast signals or broadcast-related information from an external broadcast management system via a broadcast channel. In one exemplary embodiment, communication component 316 also includes a near-field communication (NFC) module to facilitate short-range communication. For example, the NFC module may be implemented based on radio frequency identification (RFID) technology, Infrared Data Association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

[0178] In an exemplary embodiment, the apparatus 300 may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to perform the methods described above.

[0179] In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions is also provided, such as a memory 304 including instructions, which can be executed by a processor 320 of the device 300 to perform the above-described method. For example, the non-transitory computer-readable storage medium may be a ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, and optical data storage device, etc.

[0180] In an exemplary embodiment, a computer program product is also provided, including a computer program that implements the above-described method when executed by the processor 320 of the device 300.

[0181] Other embodiments of the invention will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of the invention that follow the general principles of the invention and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of the invention are indicated by the following claims.

[0182] It should be understood that the present invention is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of the invention is limited only by the appended claims.

Claims

1. A method for construction modeling and detailed design of railway bridges oriented towards the entire life cycle, characterized in that, include: Obtain the configuration parameters used to generate the 3D model of the bridge construction; Based on the configuration parameters and the preset cross-section template associated with the configuration parameters, precast beam models, cast-in-place box girder models, segmental beam models, bridge deck models, pier models, and abutment models are generated respectively; the configuration parameters include the first parameter information, steel strand configuration parameters, longitudinal reinforcement parameter information, and stirrup parameter information of the cast-in-place box girder model; Based on the first parameter information, the preset tensioning and pre-embedded constraint conditions, and the steel strand configuration parameters, a prestressed steel strand model and an anchor model associated with the prestressed steel strand model are generated at the preset position of the cast-in-place box girder model. Based on the longitudinal reinforcement parameter information, a longitudinal reinforcement model is generated in the pier model; based on the stirrup parameter information, a stirrup model is generated in the pier model. Obtain the initial smart line of the steel reinforcement for the bridge block 0 model input by the user, obtain multiple vertical steel reinforcement installation positions and corresponding height parameters from the configuration parameters, and generate corresponding vertical steel reinforcement models at each vertical steel reinforcement setting position according to the initial smart line of the steel reinforcement and the height parameters corresponding to the multiple vertical steel reinforcement setting positions. Based on the precast beam model, cast-in-place box girder model, segmental beam model, bridge deck model, pier model, abutment model, prestressed steel strand model, anchorage model, stirrup model, and stirrup model, a three-dimensional model of bridge construction is generated. The step of generating a longitudinal reinforcement model in the pier model based on the longitudinal reinforcement parameter information includes: Select the target bridge pier model and obtain the top and bottom contour lines of the target bridge pier model; The first starting point of the first longitudinal rib is determined on the top surface outline line, and the first ending point of the first longitudinal rib is determined on the bottom surface outline line. Generate the longitudinal reinforcement model of the first longitudinal reinforcement based on the first starting point and the first ending point; Obtain the longitudinal reinforcement protective layer thickness from the longitudinal reinforcement parameter information, and translate the longitudinal reinforcement model towards the axis of the target pier model according to the longitudinal reinforcement protective layer thickness to obtain the translated longitudinal reinforcement model; Based on the arrangement parameters of the longitudinal reinforcement model in the longitudinal reinforcement parameter information and the position information of the translated longitudinal reinforcement model, a three-dimensional point set of longitudinal reinforcement position is generated. For each three-dimensional point coordinate in the three-dimensional point set of the longitudinal reinforcement location, determine the top surface elevation and bottom surface elevation of the pier model corresponding to the three-dimensional point coordinates; For each three-dimensional point set, a longitudinal reinforcement model corresponding to the three-dimensional point set is generated based on the three-dimensional point set and the corresponding top and bottom elevations. The step of generating a stirrup model in the pier model based on the stirrup parameter information includes: In response to receiving an instruction to generate a stirrup model in the target pier model, the top surface contour line or the bottom surface contour line is determined as the initial contour line of the stirrup; Obtain the location information of the longitudinal reinforcement model, the stirrup radius parameter in the configuration parameters, and the protective layer thickness information; According to the stirrup radius parameters and the position information of the longitudinal reinforcement model, the initial contour line is shrunk inward to obtain the target contour line; Based on the protective layer thickness information and the target contour line, a first stirrup model is generated; Obtain the stirrup elevation configuration parameters and the elevation information of the pier model from the configuration parameters, and determine the elevation of each of the multiple second stirrup models to be generated in the pier model; Multiple second stirrup models are generated based on the respective elevations of the first stirrup model and the second stirrup model.

2. The method for railway bridge construction modeling and detailed design oriented towards the entire life cycle as described in claim 1, characterized in that, The step of generating a corresponding vertical reinforcement model at each vertical reinforcement setting position based on the initial intelligent line of the reinforcement and the height parameters corresponding to the setting positions of the plurality of vertical reinforcements includes: For each vertical rebar, an initial smart line for the rebar is placed at its designated location; According to the height parameters corresponding to the vertical reinforcement setting positions, the elevation parameters of the initial smart line of the reinforcement in the pier model are adjusted to obtain the reinforcement trajectory line corresponding to the vertical reinforcement setting positions; Based on the rebar trajectory line, a vertical rebar model is generated at the location where the vertical rebar is set.

3. The method for railway bridge construction modeling and detailed design oriented towards the entire life cycle as described in claim 1, characterized in that, After generating the three-dimensional bridge construction model based on the precast beam model, cast-in-place box girder model, segmental beam model, bridge deck model, pier model, abutment model, prestressed steel strand model, anchorage model, stirrup model, and stirrup model, the process further includes: Obtain parameter information of the device model or functional space to be configured; The target location and target size of the equipment model to be configured or the functional space to be configured are determined based on the parameter information; the target location is the position in the three-dimensional model of the bridge construction. The bridge construction 3D model is trimmed at the target location to obtain a reserved space corresponding to the target size; the reserved space is used to place the equipment model to be configured or to configure the functional space to be configured.

4. The method for railway bridge construction modeling and detailed design oriented towards the entire life cycle as described in claim 3, characterized in that, After trimming the bridge construction 3D model at the target location to obtain a reserved space corresponding to the target size, the process further includes: Determine the type of the reserved space; If the type meets the preset conditions, obtain the rebar path corresponding to the rebar associated with the reserved space; The reserved space is identified as an obstacle, and the rebar path is replanned based on the obstacle to obtain the planned rebar path; Update the rebar model based on the planned rebar path.

5. The method for railway bridge construction modeling and detailed design oriented towards the entire life cycle as described in claim 3, characterized in that, After trimming the bridge construction 3D model at the target location to obtain a reserved space corresponding to the target size, the process further includes: Obtain a temporary construction model associated with the reserved space; The temporary construction model is adjusted according to the configuration parameters of the reserved space.

6. The method for railway bridge construction modeling and detailed design oriented towards the entire life cycle as described in claim 1, characterized in that, After generating the three-dimensional bridge construction model based on the precast beam model, cast-in-place box girder model, segmental beam model, bridge deck model, pier model, abutment model, prestressed steel strand model, anchorage model, stirrup model, and stirrup model, the process further includes: Determine the construction model of the sensor model to be placed; the construction model is a sub-model in the construction 3D model; Obtain the face or line of the model to be placed in the constructed model; Based on any one or more of the detection object, detection head, and detection mileage of the sensor model to be placed, determine the installation position and placement direction of the sensor model on the surface or line; The sensor model is placed in the construction model according to the installation location and the placement direction.

7. The method for railway bridge construction modeling and detailed design oriented towards the entire life cycle as described in claim 1, characterized in that, The preset cross-section template is obtained from a pre-built bridge model library; the model library includes any one or more of the following: cast-in-place box girder cross-section template library, bridge deck template library, precast T-beam model library, bridge pier model library, and bridge abutment model library.

8. A railway bridge construction modeling and detailed design device oriented towards the entire life cycle, characterized in that, The method applied to any one of claims 1-7 includes: The acquisition unit is used to acquire configuration parameters for generating a three-dimensional model of bridge construction. The first generation unit is used to generate a precast beam model, a cast-in-place box girder model, a segmental beam model, a bridge deck model, a pier model, and an abutment model respectively based on the configuration parameters and the preset cross-section template associated with the configuration parameters; the configuration parameters include the first parameter information, steel strand configuration parameters, longitudinal reinforcement parameter information, and stirrup parameter information of the cast-in-place box girder model; The second generation unit is used to generate a prestressed steel strand model and an anchor model associated with the prestressed steel strand model at a preset position of the cast-in-place box girder model based on the first parameter information, the preset tensioning and pre-embedded constraint conditions and the steel strand configuration parameters. The third generation unit is used to generate a longitudinal reinforcement model in the pier model based on the longitudinal reinforcement parameter information, and to generate a stirrup model in the pier model based on the stirrup parameter information. The fourth generation unit is used to obtain the initial smart line of the steel reinforcement for the bridge block 0 model input by the user, obtain multiple vertical steel reinforcement installation positions and corresponding height parameters from the configuration parameters, and generate corresponding vertical steel reinforcement models at each vertical steel reinforcement setting position according to the initial smart line of the steel reinforcement and the height parameters corresponding to the multiple vertical steel reinforcement setting positions. The fifth generation unit is used to generate the three-dimensional model of bridge construction based on the precast beam model, cast-in-place box girder model, segmental beam model, bridge deck model, pier model, abutment model, prestressed steel strand model, anchorage model, stirrup model, and stirrup model.

9. An electronic device, characterized in that, include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, implements the method as described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the method as described in any one of claims 1 to 7.

11. A computer program product, comprising a computer program, characterized in that, The computer program, when executed by a processor, implements the method as described in any one of claims 1 to 7.

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