Standardized delivery methods and systems for BIM model data in the design phase of high-speed railway simply supported beam bridges

Abstract

This invention discloses a standardized delivery method and system for BIM model data during the design phase of high-speed railway simply supported beam bridges, belonging to the technical field of design data for high-speed railway simply supported beam bridges. The method includes: a processing module splitting the initial BIM model of the high-speed railway simply supported bridge to obtain multiple first sub-models; a collaborative terminal performing spatial position calibration and design on the first sub-models to obtain second sub-models; edge nodes retrieving the second sub-models and performing basic verification processing, sending them as third sub-models to a cloud server; the cloud server integrating all third sub-models to obtain an overall BIM model and performing compliance verification on it to obtain a first verification result, uploading the first verification result and each third sub-model to the processing module; and the processing module correcting each third sub-model based on the first verification result to form a standard BIM model for the high-speed railway simply supported beam bridge. This method can improve the delivery efficiency of BIM model data during the design phase of high-speed railway simply supported beam bridges.

Description

Technical Field

[0001] This invention belongs to the field of design data technology for high-speed railway simply supported beam bridges, specifically relating to a standardized delivery method and system for BIM model data during the design phase of high-speed railway simply supported beam bridges. Background Technology

[0002] As a widely adopted structural form in railway lines, the design quality of simply supported beam bridges for high-speed railways directly affects project safety and construction efficiency. Applying BIM technology for standardized delivery of model data during the design phase can significantly improve design collaboration efficiency, ensure the accuracy of information transmission, and lay a solid foundation for subsequent construction and operation, demonstrating broad application prospects.

[0003] Currently, BIM collaborative design for high-speed railway simply supported beam bridges in the industry largely relies on centralized data management platforms. Each design unit typically operates on the same model or submits design deliverables on a unified central server, with the lead unit manually integrating and verifying the data. Existing technologies also attempt to unify data formats through predefined component libraries and submission specifications, aiming to achieve standardized model delivery.

[0004] However, the above methods have significant limitations in practical applications. Due to differences in the modeling environments and accuracy among participating parties, spatial location conflicts and information inconsistencies often arise during model integration, leading to rework. Furthermore, the centralized processing model struggles to efficiently verify and collaboratively analyze the performance of dispersed, multi-source design data. Therefore, when applying BIM technology for standardized delivery of model data during the design phase, the low efficiency of BIM model data delivery during the design phase of high-speed railway simply supported beam bridges is due to rework and difficulties in efficiently verifying the design data.

[0005] It should be noted that the information disclosed in the background section above is only used to enhance the understanding of the background of this application, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0006] To provide a basic understanding of some aspects of the disclosed embodiments, a brief summary is given below. This summary is not intended as a general commentary, nor is it intended to identify key / important components or describe the scope of protection of these embodiments, but rather as a prelude to the detailed description that follows.

[0007] This disclosure provides a standardized delivery method and system for BIM model data during the design phase of high-speed railway simply supported beam bridges, which can improve the delivery efficiency of BIM model data during the design phase of high-speed railway simply supported beam bridges.

[0008] In some embodiments, a standardized delivery method for BIM model data during the design phase of a high-speed railway simply supported beam bridge includes: The processing module splits the initial BIM model of the high-speed railway simply supported bridge into multiple first sub-models, and sends each first sub-model to the corresponding collaborative terminal. Each collaborative terminal performs spatial position calibration on the first sub-model and designs the calibrated first sub-model to obtain the second sub-model; The edge node retrieves the corresponding second sub-model and performs basic verification processing. The second sub-model that passes the basic verification processing is then sent to the cloud server as the third sub-model. The cloud server integrates all third-party sub-models to obtain the overall BIM model, performs compliance verification on the overall BIM model, obtains the first verification result, and uploads the first verification result and each third-party sub-model to the processing module. The processing module corrects each third sub-model based on the first verification result and forms a standard BIM model of the high-speed railway simply supported beam bridge.

[0009] In some embodiments, a standardized delivery system for BIM model data during the design phase of a high-speed railway simply supported beam bridge includes: a processing module, multiple collaborative terminals, multiple edge nodes, and a cloud server; wherein, The processing module is configured to split the initial BIM model of the high-speed railway simply supported bridge, obtain multiple first sub-models, and send each first sub-model to the corresponding collaborative terminal. The collaborative terminal is configured to perform spatial position calibration on the first sub-model and design the calibrated first sub-model to obtain the second sub-model. Edge nodes are configured to retrieve the corresponding second sub-model, perform basic verification processing, and send the second sub-model that has passed the basic verification processing as the third sub-model to the cloud server. The cloud server is configured to integrate all third-party sub-models, obtain the overall BIM model, perform compliance verification on the overall BIM model, obtain the first verification result, and upload the first verification result and each third-party sub-model to the processing module. The processing module is also configured to correct each third sub-model based on the first verification result and form a standard BIM model of the high-speed railway simply supported beam bridge.

[0010] In some embodiments, the electronic device includes: Memory, used to store computer programs; A processor is used to execute the computer program to implement the steps of the BIM model data standardization delivery method for the design phase of high-speed railway simply supported beam bridges as described above.

[0011] In some embodiments, a computer-readable storage medium stores a computer program that, when executed by a processor, enables the standardized delivery method of BIM model data during the design phase of high-speed railway simply supported beam bridges as described above.

[0012] The beneficial effects of this invention are as follows: The initial BIM model of the high-speed railway simply supported bridge is split into multiple first sub-models by the processing module, and these are then distributed to the corresponding collaborative terminals. Each collaborative terminal performs spatial position calibration on the received first sub-models to ensure spatial consistency across all terminals, avoiding spatial conflicts and inconsistencies, thus effectively reducing rework. An edge-cloud collaborative architecture is used, with edge nodes performing basic verification and cloud servers performing integration processing and compliance verification, significantly improving verification efficiency. The processing module then corrects each third sub-model based on the first verification results, resulting in a standard BIM model for the high-speed railway simply supported beam bridge. This layered and efficient verification process—using spatial position calibration of the received first sub-models by each collaborative terminal to reduce rework and using edge nodes for basic verification to alleviate computational burden on the cloud server—improves verification efficiency by reducing rework and enhancing verification efficiency, thereby increasing the delivery efficiency of BIM model data during the design phase of the high-speed railway simply supported beam bridge.

[0013] The above general description and the description below are exemplary and illustrative only and are not intended to limit this application. Attached Figure Description

[0014] One or more embodiments are illustrated by way of example with reference to the accompanying drawings. These illustrations and drawings do not constitute a limitation on the embodiments. Elements having the same reference numerals in the drawings are shown as similar elements. The drawings are not to be scaled. And wherein: Figure 1 This is a flowchart of a standardized delivery method for BIM model data during the design phase of a high-speed railway simply supported beam bridge, provided by the present invention. Figure 2 This is a flowchart of a method for determining a performance evaluation model provided by the present invention; Figure 3 This is an embodiment of a standardized delivery method for BIM model data during the design phase of a high-speed railway simply supported beam bridge provided by the present invention; Figure 4 This is a structural schematic diagram of a standardized delivery system for BIM model data in the design phase of a high-speed railway simply supported beam bridge, provided by the present invention. Detailed Implementation

[0015] To provide a more detailed understanding of the features and technical content of the embodiments of this disclosure, the implementation of the embodiments of this disclosure will be described in detail below with reference to the accompanying drawings. The accompanying drawings are for illustrative purposes only and are not intended to limit the embodiments of this disclosure. In the following technical description, for ease of explanation, several details are used to provide a full understanding of the disclosed embodiments. However, one or more embodiments may still be implemented without these details. In other cases, well-known structures and devices may be simplified in their depiction to simplify the drawings.

[0016] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this disclosure are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate for the embodiments of this disclosure described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion.

[0017] Unless otherwise stated, the term "multiple" means two or more.

[0018] In this embodiment of the disclosure, the character " / " indicates that the objects before and after it are in an "or" relationship. For example, A / B means: A or B.

[0019] The term "and / or" describes an association between objects, indicating that three relationships can exist. For example, A and / or B means: A or B, or A and B.

[0020] The term "correspondence" can refer to an association or binding relationship. The correspondence between A and B means that there is an association or binding relationship between A and B.

[0021] Currently, BIM collaborative design for high-speed railway simply supported beam bridges often encounters misalignment and conflicts during integration due to inconsistent spatial benchmarks and accuracy across various collaborative terminals. Centralized management also struggles to effectively verify dispersed design changes globally, resulting in the quality of delivered models heavily reliant on manual post-processing, compromising efficiency and accuracy.

[0022] To address the aforementioned issues, this application proposes a standardized delivery method for BIM model data during the design phase of high-speed railway simply supported beam bridges. This method involves spatial calibration of the first sub-model through unified on-site measurements, optimization of collaborative performance by aggregating parameters from various collaborative terminals using a cloud server, and automatic review based on specifications and standards through a step-by-step verification mechanism at both the edge and cloud levels. This process ensures that the final delivered BIM model meets construction requirements in terms of spatial accuracy, structural performance, and compliance, fundamentally resolving the problem of uncontrollable model quality caused by poor collaboration and delayed verification.

[0023] To enable those skilled in the art to better understand the present application, the present application will be further described in detail below with reference to the accompanying drawings and specific embodiments. Obviously, the described embodiments are merely some embodiments of the present application, and not all embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0024] This disclosure provides a method for standardized delivery of BIM model data during the design phase of high-speed railway simply supported beam bridges, applicable to a BIM model data standardization delivery system for the design phase of high-speed railway simply supported beam bridges. This system includes a processing module, multiple collaborative terminals, multiple edge nodes, and a cloud server.

[0025] Combination Figure 1 As shown in the embodiments of this disclosure, a standardized delivery method for BIM model data during the design phase of a high-speed railway simply supported beam bridge is provided, including: In step S101, the processing module splits the initial BIM model of the high-speed railway simply supported bridge to obtain multiple first sub-models, and sends each first sub-model to the corresponding collaborative terminal.

[0026] The initial BIM model refers to the building information model established in the early stages of the design phase of a high-speed railway simply supported beam bridge, containing geometric and attribute information. The first sub-model is an independent model formed by dividing the initial BIM model according to the structural system, used for targeted design by various collaborating units. The collaborative terminal represents the terminal equipment at the collaborative design unit; terminal equipment includes computers, etc. Collaborative design units refer to different professional or functional units that jointly participate in the design of high-speed railway simply supported beam bridges.

[0027] In practical applications, the design model for high-speed railway simply supported beam bridges typically includes an initial BIM model (geometric information, attribute information), design documents, and environmental information. Therefore, these design documents and environmental information are usually distributed to various collaborative terminals.

[0028] In step S102, each collaborative terminal performs spatial position calibration on the first sub-model and designs the calibrated first sub-model to obtain the second sub-model.

[0029] In some embodiments, designing the calibrated first sub-model includes: the collaborative terminal responding to the design operation instructions of the collaborative design unit to design the calibrated first sub-model.

[0030] In step S103, the edge node retrieves the corresponding second sub-model and performs basic verification processing. The second sub-model that passes the basic verification processing is then sent to the cloud server as the third sub-model.

[0031] In this embodiment, an edge node, also known as a computing node, is a local computing device located near the data source and is used to process relevant data at that data source. In this disclosure, the edge node is a computing node located near the collaborative terminal and is used to process relevant data at the collaborative terminal. One edge node corresponds to one collaborative terminal.

[0032] In step S104, the cloud server integrates all third-party sub-models to obtain the overall BIM model, performs compliance verification on the overall BIM model, obtains the first verification result, and uploads the first verification result and each third-party sub-model to the processing module.

[0033] The integration process involves using model integration and splicing techniques, such as coordinate alignment splicing, to align and splice the various third-level sub-models according to a unified benchmark, creating a comprehensive BIM model that includes the entire bridge structure. For example, geometric splicing techniques are used to align the various third-level sub-models according to a unified benchmark. Specifically, coordinate alignment splicing aligns the simply supported beam model, pier model, and abutment model to a preset coordinate origin. Simultaneously, relevant data from each third-level sub-model, such as material data and performance parameters, are correlated to ensure data interoperability between sub-models, ultimately assembling and generating a standard BIM model of the high-speed railway simply supported beam bridge. This unified benchmark represents the common reference point of all third-level sub-models.

[0034] In step S105, the processing module corrects each third sub-model based on the first verification result and forms a standard BIM model of the high-speed railway simply supported beam bridge.

[0035] The BIM model data standardization delivery method for the design stage of high-speed railway simply supported beam bridges, as provided in this embodiment, involves splitting the initial BIM model of the high-speed railway simply supported bridge into multiple first sub-models through a processing module, which are then distributed to corresponding collaborative terminals. Each collaborative terminal performs spatial position calibration on the received first sub-models to ensure spatial consistency under the same benchmark, avoiding spatial position conflicts and information inconsistencies, thereby effectively reducing rework. Through an edge-cloud collaborative architecture, basic verification processing is performed by edge nodes, followed by integration processing and compliance verification by the cloud server, effectively improving verification efficiency. The processing module then corrects each third sub-model based on the first verification results, thereby obtaining the standard BIM model of the high-speed railway simply supported beam bridge. In this way, by calibrating the spatial position of the first sub-model received by each collaborative terminal, the number of reworks can be reduced; and by performing basic verification processing through edge nodes, the computing pressure on the cloud server can be shared, forming a layered and efficient verification process to improve verification efficiency. Thus, by effectively reducing the number of reworks and improving verification efficiency, the delivery efficiency of BIM model data in the design stage of high-speed railway simply supported beam bridges can be improved.

[0036] Preferably, the initial BIM model of the high-speed railway simply supported bridge is split to obtain multiple first sub-models, including: based on the structural components of the high-speed railway simply supported beam bridge, the geometric information and attribute information of the simply supported beams, abutments, piers and other components in the initial BIM model are identified using a model recognition algorithm to confirm each component of the initial BIM model; then the identified components are split to obtain multiple first sub-models.

[0037] For example, the model recognition algorithm used can be a feature matching algorithm based on component attributes. These segmented components include not only the appearance of the high-speed railway simply supported beam bridge, but also its internal structure and details, specifically as shown in Table 1 below: Table 1. Structural breakdown of a high-speed railway simply supported beam bridge model. Note: In Table 1, “▲” indicates information that should be included, and “△” indicates information that is advisable to be included.

[0038] Subsequently, based on the identification results in Table 1, the initial BIM model is automatically divided into corresponding BIM sub-models, thus obtaining multiple first sub-models.

[0039] Preferably, each collaborative terminal performs spatial position calibration on the first sub-model, including: performing the following steps for each collaborative terminal: Spatial data measurement equipment deployed at various collaborative design units was used to collect spatial reference data for key components of the high-speed railway simply supported beam bridge, using benchmark points in the high-speed railway engineering control network as reference objects. The differences between the spatial reference data and the design data for corresponding parts in the first sub-model were calculated. Based on these differences, the geometric coordinates of the first sub-model were spatially calibrated to ensure consistency between the spatial position of the first sub-model and the spatial benchmarks established in the high-speed railway engineering control network.

[0040] Among them, the benchmark reference point is the reference point in the control network of the high-speed railway project, which serves as the unified reference standard for the entire project survey. Spatial benchmark data is data on key parts of the bridge collected by surveying equipment, including three-dimensional coordinate information and surface geometric data.

[0041] In this embodiment, spatial data measurement equipment deployed in various collaborative design units is first used to collect spatial data using benchmark points in the high-speed railway engineering control network as reference objects. The focus is on collecting spatial benchmark data for key components of the high-speed railway simply supported beam bridge, such as the supports of the simply supported beams, the bottom and top of the piers, and the abutment connection points. In practical applications, the spatial data measurement equipment can be a total station or a laser scanning device. For example, a collaborative unit might use a total station to calibrate benchmark point C in the high-speed railway engineering control network, measure the three-dimensional coordinates of the top of the pier, and simultaneously use a laser scanning device to scan the side of the pier to obtain surface geometric data. Then, a data comparison algorithm is used to calculate the difference between the collected spatial benchmark data and the design data of the corresponding parts in the first sub-model. Subsequently, based on this calculated difference, a coordinate correction algorithm is used to calibrate the spatial accuracy of the geometric coordinates of the first sub-model, ensuring that the spatial position of the first sub-model is consistent with the spatial benchmark established by the control network benchmark points.

[0042] For example, the collected three-dimensional coordinates of the top of the bridge pier ( ) and the design coordinates of that part in the first sub-model ( The two are compared, and the differences in the X, Y, and Z directions are calculated: the difference in the X direction is... The difference in the Y direction is The difference in the Z direction is The coordinate positions of the bridge piers in the first sub-model are adjusted based on the differences between the two in the X, Y, and Z directions, so that the spatial position of the first sub-model is consistent with the spatial reference established by the control network reference points.

[0043] Preferably, the edge node retrieves the corresponding second sub-model, performs basic verification, and sends the verified second sub-model as the third sub-model to the cloud server, including: The edge node retrieves the corresponding second sub-model and performs standardization processing to obtain the standardized sub-model; the standardization processing includes lightweighting the geometric information of the second sub-model and standardizing the material properties. Based on the design specifications for high-speed railway simply supported beam bridges, edge nodes perform spatial collision detection between components and minimum spacing detection on the standardized second sub-model. If the detection is passed, the standardized second sub-model is sent to the cloud server as the second sub-model that has passed basic verification.

[0044] Among them, the design specifications for high-speed railway simply supported beam bridges are the bridge design standards stipulated by the industry.

[0045] In this way, lightweight processing reduces the data volume of the second sub-model; standardized mapping of material properties unifies the identification information of material properties within each second sub-model, ensuring consistency in identification information across all second sub-models. Furthermore, spatial collision detection between components and minimum spacing detection of critical parts are performed on the standardized second sub-models to effectively reduce the pressure on the cloud server by proactively identifying fundamental issues, thereby improving verification efficiency.

[0046] For example, the geometric information of the second sub-model can be lightweighted, such as by deleting redundant geometric surfaces and merging duplicate lines. For instance, a simplification algorithm can be used to delete chamfered surfaces smaller than 5mm in the simply supported beam sub-model. Material properties can be standardized and mapped, such as by standardizing material properties according to industry material standards. For example, "ordinary concrete" in the model can be mapped to the standard code "C-STD".

[0047] Preferably, spatial collision detection between components and minimum spacing detection of key parts are performed on the third sub-model, including: using a spatial collision detection algorithm to check whether components within the sub-model and with associated sub-models collide, and measuring the minimum spacing of key parts to check whether it meets the minimum spacing requirements of the design specifications. Here, associated sub-models represent other third sub-models adjacent to the current third sub-model.

[0048] For example, spatial collision detection algorithms can be used to check whether components within a sub-model and in related sub-models collide. In practical applications, bounding box algorithms can be used to check whether beams and columns in a bridge pier sub-model overlap. Spacing of key parts can be measured to verify whether it meets the minimum spacing requirements of the design specifications. For example, it can be checked whether the spacing at the connection between the abutment and the simply supported beam is not less than the minimum spacing requirements specified in the design specifications.

[0049] Preferably, if the test passes, the standardized second sub-model is used as the second sub-model that has passed basic verification. This includes: if the spatial collision between components and the minimum spacing of key parts meet the design specifications for high-speed railway simply supported beam bridges, the test is considered passed; if the test passes, the standardized second sub-model is used as the second sub-model that has passed basic verification. If the spatial collision between components does not meet the design specifications for high-speed railway simply supported beam bridges, and / or the minimum spacing of key parts does not meet the design specifications for high-speed railway simply supported beam bridges, the test is considered failed; if the test fails, the non-compliance with design specifications in the test results is fed back to the collaborative terminal, allowing the collaborative terminal to correct its own second sub-model based on the non-compliance, update its own second sub-model, and transmit the new second sub-model to the edge node for basic verification again until the test passes.

[0050] In this way, if the test fails, the non-compliance with the design specifications in the test results will be fed back to the collaborative terminal. This allows the collaborative terminal to update its second sub-model in a timely manner based on the non-compliance, thereby reducing the lag in the verification, improving the verification efficiency, and ensuring the quality of the delivered model.

[0051] Preferably, a compliance verification is performed on the overall BIM model to obtain a first verification result, including: Based on the acceptance standards for high-speed railway simply supported beam bridges, a multi-disciplinary collaborative conflict detection tool is used to automatically scan and check the rules of the overall BIM model, and the detected conflicts are marked to obtain the first verification result.

[0052] The first verification result includes the results of all items from automated scanning and rule checks, and identifies any conflicting items.

[0053] In this way, the cloud server obtains the first verification result by automatically scanning and checking the rules of the overall BIM model, thereby enabling the overall verification analysis of the overall BIM model to ensure its compliance and lay a qualified foundation for subsequent delivery.

[0054] For example, multi-disciplinary collaborative conflict detection tools can identify spatial interference and logical contradictions in different professional sub-models, such as structures, pipelines, and bridge deck systems, after integration. In practical applications, conflict detection modules of software such as Navisworks and BIM 360 can be used. In this embodiment, it mainly focuses on the structural acceptance clauses within the acceptance standards for high-speed railway simply supported beam bridges, performing automated scanning and rule checks. Preferably, the first verification result also includes the delivery document status. Based on the acceptance standards for high-speed railway simply supported beam bridges, a multi-disciplinary collaborative conflict detection tool is used to automatically scan and check the rules of the overall BIM model, and the detected conflicts are marked to obtain the inspection results. Edge nodes also retrieve the delivery documents of the second sub-model in the corresponding collaborative terminal and send them to the cloud server. The cloud server integrates and processes all received delivery documents to obtain delivery documents that match the overall BIM model, and checks whether the delivery documents that match the overall BIM model are complete to obtain the delivery document status. The inspection results and the delivery document status are used as the first verification result.

[0055] The delivered documents include design drawings, material specifications, calculation reports, etc.

[0056] Preferably, the processing module corrects the overall BIM model based on the first verification result to obtain a standard BIM model of the high-speed railway simply supported beam bridge, including: Each collaborative terminal generates at least one optimization parameter based on the local data corresponding to the second sub-model and the load characteristics of the high-speed railway simply supported beam bridge, and sends it to the cloud server. The cloud server performs parameter aggregation and iterative optimization on the received multiple optimization parameters to obtain a performance evaluation model, and then sends the performance evaluation model to the processing module. The processing module corrects each third sub-model based on the first verification result and the performance evaluation model, and forms a standard BIM model of the high-speed railway simply supported beam bridge.

[0057] In this way, by generating optimization parameters through collaborative terminals and performing parameter aggregation and iterative optimization processing on cloud servers, collaborative analysis and quantitative evaluation of the overall structural performance of the bridge are achieved, thus obtaining the performance evaluation model. The processing module then corrects each third sub-model, thereby obtaining the standard BIM model of the high-speed railway simply supported beam bridge. This ensures that the delivered model (i.e., the standard BIM model of the high-speed railway simply supported beam bridge) meets the quality and integrity requirements of the construction drawings in terms of geometry, performance, and specifications.

[0058] Preferably, the local data includes locally stored structural component dimension data and material property data; the load characteristics of the high-speed railway simply supported beam bridge include the static load standard value and dynamic load coefficient of the high-speed railway simply supported beam bridge. Each collaborative terminal, based on the local data corresponding to the second sub-model and the load characteristics of the high-speed railway simply supported beam bridge, generates at least one optimization parameter and sends it to the cloud server, including: each collaborative terminal performing the following steps: Based on the locally stored structural component size data, material property data, static load standard value of high-speed railway simply supported beam bridge, and dynamic load coefficient corresponding to the second sub-model, at least one optimization parameter is calculated and generated according to the preset parameter generation rules; timestamps and digital signatures are added to each optimization parameter, and the parameters are packaged and uploaded to the cloud server.

[0059] Among them, the parameter generation rule refers to the preset calculation logic by which each collaborative terminal transforms local data and load characteristics into model optimization parameters.

[0060] In this way, each collaborative terminal can comprehensively evaluate the performance of its own second sub-model by comprehensively associating the structural component dimensions and material property data with the static load standard values ​​determined in the bridge design specifications and the dynamic load coefficient considering the dynamic effects of trains. Furthermore, by adding timestamps and digital signatures to the optimization parameters, data security standards are ensured, and the reliability of the optimization parameters transmitted by each collaborative terminal is improved.

[0061] For example, for a bridge pier, the locally stored structural component size data is the diameter of the bridge pier or the cross-sectional size of the beam; the locally stored material property data is the strength grade of the concrete or the type and grade of the reinforcing steel.

[0062] For example, the parameter generation rules define explicit mathematical relationships, and a typical calculation formula is shown below: This formula aims to quantitatively evaluate the relative load-bearing capacity of a specific component under its load. The calculated dimensionless optimization parameters are generally higher in value, indicating that the component has a relatively higher load-bearing safety reserve.

[0063] For example, suppose collaborative terminal B is responsible for optimizing the bridge pier section. The local data it retrieves includes a pier diameter of 1.5 meters and a concrete strength of 30 MPa. The pier is cylindrical, and its cross-sectional area, calculated based on the pier diameter, is approximately 1.767 square meters. Simultaneously, the standard static load that the pier needs to withstand is 200 kN per meter, and the dynamic load factor is taken as 1.2. Substituting these values ​​into the calculation formula: The optimized parameter value reflecting the bearing capacity of the bridge pier is approximately 0.221.

[0064] For example, to ensure data security and traceability, each collaborative terminal adds a current timestamp and a unit digital signature to its own optimized parameters, packages them into a unified format, and uploads them to the cloud server via the network. For instance, collaborative terminal B adds a timestamp of "202511041500" and a signature of "AB123456" to the bridge pier parameters, packages them into XML format, and uploads them to the cloud server.

[0065] Preferably, combined with Figure 2 As shown, this disclosure provides a flowchart of a method for determining a performance evaluation model. The method involves aggregating and iteratively optimizing multiple received optimization parameters to obtain a performance evaluation model, including: Step S201: Aggregate the received multiple optimization parameters to form a parameter set.

[0066] The cloud server is a remote server for aggregating parameters. On the cloud server, aggregation functions are used to aggregate parameters from multiple received parameter datasets. In practical applications, aggregation functions can be weighted averages, maximum / minimum value aggregations, or other similar methods. Aggregation weights can be set based on the expertise or data reliability of each collaborating unit.

[0067] Understandably, the cloud server aggregates multiple received optimization parameters by combining several parameters that represent the same meaning. For example, if both collaborative terminal A and collaborative terminal B submit the main beam prestressing control stress and the pier bearing capacity, then the main beam prestressing control stress submitted by collaborative terminal A and collaborative terminal B, as well as the pier bearing capacity submitted by collaborative terminal A and collaborative terminal B, will be aggregated. This aggregated main beam prestressing control stress and pier bearing capacity will then be used as parameters in the parameter set.

[0068] For example, the cloud server needs to aggregate the parameter "main beam prestressing tension control stress". It receives optimization parameters submitted by two collaborative terminals: collaborative terminal A submits a value of 1300 MPa, and collaborative terminal B submits a value of 1350 MPa.

[0069] Before aggregation, the cloud server assigns a weight to the parameter according to a preset weighting rule. Given that collaborative terminal A is widely recognized as more authoritative in the field of prestressed structure design, its submitted parameter value is assigned a higher weight of 0.7; while collaborative terminal B is assigned a weight of 0.3. Subsequently, a weighted average function is used for calculation: Through this calculation, the cloud server determined the initial parameter value of the "main beam prestressing tension control stress" to be 1315 MPa, and updated the corresponding item in the initial parameter set with this value. This process ensures that the final parameter set used for optimization comprehensively considers opinions from various disciplines and is more inclined to adopt input from authoritative units.

[0070] Step S202: Calculate the evaluation value corresponding to the current parameter set using a preset objective function.

[0071] The objective function is a quantified mathematical expression used to comprehensively evaluate the merits of a parameter set. Its output value represents the performance level of a bridge in a specific aspect or in combination under the current parameter set. The objective function is as follows: in, , Two parameter values, a and b, represent the same meaning and are preset corresponding weights. The current parameter set is substituted into the objective function to calculate the evaluation value, thereby intuitively reflecting the bridge performance level under the current parameter set.

[0072] Step S203: Calculate the difference between the preset expected performance index and the evaluation value, and if the difference is greater than or equal to the preset threshold, determine the adjustment items for the current parameter set; wherein, the adjustment items include the adjustment direction and the adjustment magnitude.

[0073] When determining the adjustments to the current parameter set, professional experience and performance requirements should be considered to determine the direction and magnitude of the adjustments, thus avoiding performance fluctuations caused by excessive adjustments.

[0074] For example, the difference and the current parameter set are sent to a preset professional, and the adjustment direction and adjustment range fed back by the professional based on the difference and the current parameter set are received, which are used as the adjustment items for the current parameter set.

[0075] For example, an adjustment list is determined based on expert experience. Based on this difference, a query operation is performed within the adjustment list to determine the adjustment direction and adjustment range corresponding to this difference. For instance, when the difference is 0.2, the adjustment direction of the prestressed tension control stress of the main beam is positive, and the adjustment range is an increase of 5%; the adjustment direction of the pier bearing capacity is positive, and the adjustment range is an increase of 5%.

[0076] Step S204: Adjust the current parameter set based on the adjustment items of the current parameter set to obtain a new parameter set, and repeat steps S202 to S204 until the preset iteration termination condition is met to obtain the optimized parameter set.

[0077] The preset iteration termination conditions include the absolute value of the difference being less than a preset threshold, or the number of iterations reaching a preset upper limit. The preset threshold is 0.1.

[0078] Based on the adjustments made to the current parameter set, the current parameter set is adjusted, that is, the parameter set is updated according to the determined adjustment direction and magnitude, resulting in a new parameter set. This improves the evaluation value corresponding to the current parameter set, thereby enhancing the bridge's performance level.

[0079] Step S205: Based on the optimized parameter set, obtain the performance evaluation model.

[0080] Utilizing model-building technology, the optimized parameter set is input into the model-building system. In practical applications, this technology can be a BIM performance analysis plugin or a finite element analysis tool. The model-building system integrates and analyzes the mechanical properties of various parts of the bridge, such as load-bearing capacity, wind resistance, and seismic performance, generating a performance evaluation model that reflects the overall performance of the bridge. For example, by inputting optimized parameters such as bearing spacing and concrete strength, a visual model can be generated through the BIM performance analysis plugin, displaying the bridge's deformation, stress distribution, and other performance indicators under load.

[0081] In this way, the cloud server enhances the rationality of the parameter set through aggregation and iterative optimization. The final performance evaluation model provides an overall performance reference for bridge design, improves the scientific nature of the delivery model design, and ensures the quality of the delivery model.

[0082] For example, suppose the parameter set contains two key parameters: "support spacing" and "concrete strength," with aggregated values ​​of 2.58 meters and 31.33 MPa, respectively. A simplified objective function can be defined as: This assessment value is also known as bridge performance. The weights of 0.6 and 0.4 reflect the relative importance of the two parameters to the overall performance. Substituting these two parameters into the objective function yields: The quantitative score for the current bridge performance is the evaluation value of 14.08. Since 14.08 is less than the set expected performance index of 16.0, the iteration begins. The iteration terminates when the absolute value of the difference between the expected performance index and the evaluation value is less than 0.1.

[0083] In the first iteration, the adjustment direction and magnitude were determined based on the current parameter set's evaluation value of 14.08. This evaluation value of 14.08 was lower than the expected performance index of 16.0, with a difference of 1.92 between the expected performance index and the evaluation value. To improve the evaluation value, two parameters needed to be increased. According to preset rules, the system determined the adjustment direction to be positive, with the adjustment magnitude as follows: an increase of 0.1 meters in the support spacing and an increase of 0.8 MPa in the concrete strength. After the update, the support spacing was updated to 2.58 + 0.1 = 2.68 meters; the concrete strength was updated to 31.33 + 0.8 = 32.13 MPa.

[0084] Proceed to the second iteration and calculate the evaluation value: The result is still less than the expected performance index of 16.0, so iterative adjustments are necessary. Assume that after the Nth iteration, the parameter set is updated to have a support spacing of 3.10 meters and a concrete strength of 35.25 MPa. The calculated evaluation value at this point is 15.96, which is -0.04 from the expected performance index of 16.0, satisfying the iteration termination condition. Thus, the iterative optimization process ends, and the optimized parameter set is obtained as a support spacing of 3.10 meters and a concrete strength of 35.25 MPa.

[0085] Preferably, based on the first verification result and the performance evaluation model, each third sub-model is corrected to form a standard BIM model for a high-speed railway simply supported beam bridge, including: The optimized parameter set is extracted from the performance evaluation model, and the optimized parameter set is applied to each third sub-model to obtain each fourth sub-model; Based on the conflicting items identified in the first verification result, each fourth sub-model is reviewed, and the corresponding fourth sub-model is corrected based on the reviewed conflicting items to obtain each fifth sub-model. Based on the optimized parameter set, compliance verification is performed on each fifth sub-model to obtain the second verification result; Based on the second verification result, each of the corresponding fifth sub-models is corrected, and all the corrected fifth sub-models are assembled to form a standard BIM model of a high-speed railway simply supported beam bridge.

[0086] The revised fifth sub-model is a standardized bridge BIM sub-model formed after parameter optimization and problem correction. The standard BIM model, as the delivery model in the construction drawing stage, is the final model that can be directly used in the construction drawing design.

[0087] The processing module applies optimized parameter sets to each third sub-model to obtain fourth sub-models with better performance. Since applying optimized parameter sets alters some parameters of each fourth sub-model, it may eliminate existing conflicts or introduce new ones. Therefore, based on the conflicts identified in the first verification result, each fourth sub-model is reviewed to quickly identify and correct any remaining conflicts, thus efficiently resolving conflicts and obtaining fifth sub-models. The optimized parameter sets are then used to perform a second compliance verification on each fifth sub-model to identify new conflicts introduced by the optimized parameter sets, yielding a second verification result. This result is then used to further correct each fifth sub-model, ensuring that the standard BIM model for the high-speed railway simply supported beam bridge meets design and acceptance requirements, laying a solid foundation for subsequent delivery.

[0088] For example, an optimized parameter set is extracted from the performance evaluation model, such as parameters like "concrete strength 31.33 MPa" and "support spacing 2.78 m". The optimized parameter set is then applied to each third sub-model; that is, the corresponding third sub-model and specific component are found, and the parameter value of the optimized parameter within the corresponding third sub-model is deconstructed using an aggregation function. This value is then applied to the attribute information of the component in the corresponding third sub-model. For instance, the parameter "concrete strength 31.33 MPa" is applied to the concrete component attributes of the bridge pier sub-model, thus completing the parameter application.

[0089] For example, based on the conflicting issues identified in the first verification result, each fourth sub-model is reviewed, including: using the conflicting issues as a baseline, and combining the latest state of the BIM sub-model (i.e., the fourth sub-model) with applied optimization parameters, automatically verifying whether the conflicting issues identified in the first verification result still exist in the latest model state (i.e., the fourth sub-model). Conflicting issues that no longer exist (i.e., those that have been resolved after the application of optimization parameters) are ignored; for those that still exist (e.g., geometric or attribute problems), they are directly corrected (e.g., their geometry is adjusted to meet the standards), thus obtaining each fifth sub-model.

[0090] For example, based on the optimized parameter set, compliance verification is performed on each fifth sub-model to obtain a second verification result. This includes a focused review of any new or derived compliance issues that may arise from the application of optimized parameters such as dimensions and positions, and obtaining the second verification result. The corresponding geometric elements or attribute data in the fifth sub-model are then corrected accordingly. For instance, if the optimized parameters increase the beam cross-sectional height, it will automatically detect whether new spatial conflicts arise with adjacent bridge deck components and correct any detected conflicts synchronously. In this embodiment, the compliance issue can be determined through the design specifications and / or acceptance standards for high-speed railway simply supported beam bridges.

[0091] Preferably, all the modified fifth sub-models are assembled into a standard BIM model of a high-speed railway simply supported beam bridge. This includes: using model geometric splicing technology to align all the modified fifth sub-models according to a preset unified benchmark to achieve model standardization; associating relevant data of each fifth sub-model, such as material data and performance parameters, to ensure data interoperability between the fifth sub-models; and finally assembling to generate a standard BIM model of a high-speed railway simply supported beam bridge.

[0092] For example, coordinate alignment is used to align the simply supported beam model, pier model, and abutment model with the preset coordinate origin.

[0093] Preferably, the standardized delivery system for BIM model data during the design phase of high-speed railway simply supported beam bridges also includes a design terminal. This design terminal represents the terminal equipment at the design unit. The design unit is the unit that provides the initial BIM model. The standardized delivery method for BIM model data during the design phase of high-speed railway simply supported beam bridges further includes: sending the standard BIM model of the high-speed railway simply supported beam bridge to pre-set experts (such as a project management platform) for manual review; and, if the manual review is passed, the design terminal publishes the standard BIM model of the high-speed railway simply supported beam bridge. If the manual review is not passed, each collaborative terminal redesigns each first sub-model to update each second sub-model.

[0094] Preferably, the standardized delivery method for BIM model data during the design phase of high-speed railway simply supported beam bridges further includes: a processing module attaching a corresponding design model version number to the published standard BIM model of the high-speed railway simply supported beam bridge. This design model version number is a unique identifier for the model version and is used for version management.

[0095] The version number may include information such as date and version sequence number. In practical applications, the version sequence number can be formatted as "BIM-Bridge-20251104-V1". This disclosure does not impose specific limitations on it, so as to facilitate subsequent management and traceability of model versions.

[0096] For example, in a high-speed railway simply supported beam bridge project, the optimized deflection of the simply supported beam and the bearing capacity parameters of the piers (i.e., the extracted optimized parameter set) are extracted from the performance evaluation model and applied to the component attributes of the corresponding third sub-model; based on the cloud-integrated verification results (i.e., the first verification result and the performance evaluation model), the geometric deviations of the connection parts in the abutment sub-model are corrected; all the corrected sub-models (i.e., the corrected fifth sub-model) are spliced ​​and associated according to a unified benchmark to generate a standard BIM model; finally, the standard BIM model is released as the delivery model for the construction drawing stage, with the version number "V1.0-20251104" attached.

[0097] Preferably, the standardized delivery system for BIM model data in the design phase of high-speed railway simply supported beam bridges also includes a construction terminal. This construction terminal represents the terminal equipment at the construction unit. The construction unit is the entity responsible for on-site construction of the high-speed railway simply supported beam bridge. Based on the standard BIM model of the high-speed railway simply supported beam bridge, the construction terminal inherits, expands, and supplements the model to form a detailed construction model, and then uploads the detailed construction model to the processing module. The processing module reviews the construction detailing model, publishes the approved construction detailing model, and generates the corresponding construction detailing model version number. Based on the published construction detail model, the construction terminal forms a construction process model by supplementing it with design changes, construction plans, construction records, quality control, and safety management information; The construction terminal adjusts information that does not match the actual construction process model, supplements the completion inspection report and acceptance record, and forms the as-built model after verification.

[0098] In this way, based on the detailed construction model published by the construction terminal, design changes, construction plans, records, and quality and safety data are added to form a construction process model. The construction terminal adjusts information that does not match the actual situation, supplements the completion inspection report and acceptance records, and after verification, forms an as-built model, providing a basis for acceptance and operation and maintenance.

[0099] Preferably, the construction terminal, based on the standard BIM model of the high-speed railway simply supported beam bridge, forms a detailed construction model through inheritance, expansion, and supplementation. This includes: the construction terminal acquiring the standard BIM model of the high-speed railway simply supported beam bridge, inheriting core data such as geometric information and basic attribute information from the standard BIM model, expanding the model, refining component breakdown according to construction needs, and obtaining a construction stage attribute template. This construction stage attribute template includes management attributes, process attributes, etc. (refer to Table 2). Responding to the actual construction data fed back by the construction unit, the management attributes and process attributes of the construction stage attribute template are filled in, and information such as technicians and construction schedule times is added, along with supplementary construction process parameters such as rebar tying spacing and concrete pouring sequence, thus forming the detailed construction model.

[0100] Table 2 Reference Table of Attribute Templates for Simple Supported Beams During Construction Stages In this way, the construction detailing model formed by inheritance, expansion and supplementation refines the construction units and attribute information, supplements the process parameters required for on-site construction, makes the model more in line with the actual construction scenario, and provides accurate digital basis for subsequent construction organization and on-site operations.

[0101] Preferably, the processing module reviews the construction detail model, publishes the approved construction detail model, and generates a corresponding construction detail model version number. This includes: the processing module sends the construction detail model to the BIM consulting unit for review, and if the BIM consulting unit's online or offline review (e.g., checking the rationality of component splitting, the completeness of attribute information, etc.) is approved, the processing module sends the construction detail model to the construction unit for confirmation, and if the construction unit's feedback result is confirmed, the processing module publishes the model and generates a corresponding construction detail model version number.

[0102] Once the release is complete, the processing module automatically generates the corresponding construction detail model version number and archives it to the system model list. The format of the construction detail model version number can be like "SH-SG-20251104-V1", but this embodiment does not specifically limit it.

[0103] Preferably, the construction terminal, based on the published construction detail model, supplements design changes, construction plans, construction records, quality control, and safety management information to form a construction process model, including: the construction unit obtains the construction detail model and supplements various types of information based on the model: supplementing design change documents and linking them to corresponding components; supplementing construction plans; supplementing construction records; supplementing quality control data; and supplementing safety management records. All types of information are associated with model components according to construction information categories to form a construction process model.

[0104] For example, the following sets of attributes are used to form a construction process model: basic attribute set including the detailed positioning information of beam components of a simply supported bridge and whether changes have occurred; management attribute set including technicians and quality inspectors; process attribute set including construction time and concrete batching sheet number; and change information including brief description of changes and minutes number. Similarly, the following sets of attributes are used to form a construction process model: basic attribute set including the detailed positioning information of prestressed system components and whether changes have occurred; management attribute set including technicians and quality inspectors; and process attribute set including corrugated pipe model and tensioning oil gauge value; and change information including brief description of changes and minutes number.

[0105] Preferably, the construction terminal adjusts information in the construction process model that does not match the actual construction, supplements the completion inspection report and acceptance record, and forms an as-built model after verification. This includes: the construction terminal adjusting information in the construction process model that does not match the actual on-site construction, such as correcting the deviation between the actual beam elevation and the model; then supplementing the data required for completion acceptance, such as the final inspection report of each component and the completion acceptance record; and finally verifying the completeness and accuracy of the model information to ensure that it meets the completion and delivery requirements, thus forming an as-built model.

[0106] For ease of understanding, combined with Figure 3 As shown, Figure 3 An example of a standardized delivery method for BIM model data during the design phase of a high-speed railway simply supported beam bridge is provided below: Login and Initial BIM Model Upload Steps: After the launch of a high-speed railway simply supported beam bridge project, the design unit logs into the high-speed railway simply supported beam bridge design phase BIM model data standardization delivery system and uploads the initial BIM model to the system (i.e., the design terminal uploads the initial BIM model to the high-speed railway simply supported beam bridge design phase BIM model data standardization delivery system). The processing module of the high-speed railway simply supported beam bridge design phase BIM model data standardization delivery automatically divides the high-speed railway simply supported beam bridge into simply supported beam, abutment, and pier sub-models (i.e., each first sub-model) according to the structure of the high-speed railway simply supported beam bridge. A unified integration benchmark (i.e., unified benchmark) is set and a unique version identifier is assigned. The A, B, and C collaborative terminals use a total station and laser scanning equipment to collect spatial data of key parts based on the engineering control network benchmark points. After calculating the differences with the received first sub-model design data, the coordinates are calibrated to determine the spatial position of each first sub-model under the unified integration benchmark. Design model steps: Each collaborative terminal designs the first sub-model after calibration, obtains the corresponding second sub-model, and generates optimization parameters based on the local data and load characteristics of the second sub-model, adds timestamps and signatures and uploads them to the cloud server; the cloud server generates the overall bridge performance evaluation model (i.e., performance evaluation model) through weighted average aggregation and objective function iterative optimization.

[0107] Automated review process: A collaborative edge-cloud architecture is adopted. Edge nodes perform lightweight processing and material standardization mapping on the second sub-model, then use a collision detection algorithm to automatically review for collision-free operation and spacing compliance (i.e., basic verification). Once approved, the model is uploaded to the cloud server. The cloud server integrates the overall model and performs collaborative conflict detection based on the structural acceptance clauses in the high-speed railway beam bridge acceptance specifications, verifying the completeness of the delivered documents to generate preliminary verification results. Optimization parameters are extracted from the performance evaluation model to update the attributes of each third sub-model, correcting non-compliance items verified by the cloud server (i.e., contradictions and conflicts between the first and second verification results), and splicing the sub-models (i.e., the corrected fifth sub-models) to generate a standard BIM model.

[0108] The steps for manually reviewing, releasing the delivery model, and generating the delivery model version number are as follows: The generated standard BIM model undergoes manual review by the project management platform. If the review is passed and confirmed by the project management platform, it is officially released by the design terminal as the construction drawing delivery model (i.e., the standard BIM model of the high-speed railway simply supported beam bridge), with the version number "STD-ProjectA-20251104-V1" attached. If the review fails, the design must be redone.

[0109] The steps for uploading, automatically reviewing, manually reviewing, publishing, and generating the version number of the detailed construction model are as follows: The construction unit uploads the detailed model to the processing module. The BIM consulting unit first verifies the basic data using the system's automatic review tool, and then organizes professionals to conduct a manual review. If any missing web stirrup units are found in the simple-supported beam reinforcement breakdown, feedback is provided for modification. The construction unit corrects the errors and resubmits the model. After automatic review and a second manual review, it is submitted to the construction unit for manual confirmation. The processing module then initiates the model publishing process. The system generates the detailed construction model version number "SH-ProjectA-20251104-V1" and archives it, ending the process. Figure 3 process.

[0110] Subsequently, the construction terminal supplements the published detailed construction model with design changes, construction plans, records, and quality and safety data to form a construction process model. Finally, the construction unit adjusts any discrepancies between the model and reality, supplements the completion inspection report and acceptance records, and after verification, forms an as-built model, providing a basis for acceptance and operation and maintenance.

[0111] Combination Figure 4 As shown in the figure, this disclosure provides a standardized delivery system for BIM model data in the design phase of a high-speed railway simply supported beam bridge, including: a processing module, multiple collaborative terminals, multiple edge nodes, and a cloud server. Among them, The processing module is configured to split the initial BIM model of the high-speed railway simply supported bridge, obtain multiple first sub-models, and send each first sub-model to the corresponding collaborative terminal. The collaborative terminal is configured to perform spatial position calibration on the first sub-model and design the calibrated first sub-model to obtain the second sub-model. Edge nodes are configured to retrieve the corresponding second sub-model, perform basic verification processing, and send the second sub-model that has passed the basic verification processing as the third sub-model to the cloud server. The cloud server is configured to integrate all third-party sub-models, obtain the overall BIM model, perform compliance verification on the overall BIM model, obtain the first verification result, and upload the first verification result and each third-party sub-model to the processing module. The processing module is also configured to correct each third sub-model based on the first verification result and form a standard BIM model of the high-speed railway simply supported beam bridge.

[0112] The BIM model data standardization delivery system for the design stage of high-speed railway simply supported beam bridges provided in this disclosure uses a processing module to split the initial BIM model of the high-speed railway simply supported bridge into multiple first sub-models, which are then distributed to corresponding collaborative terminals. Each collaborative terminal performs spatial position calibration on the received first sub-models to ensure spatial consistency under the same benchmark, avoiding spatial position conflicts and information inconsistencies, thereby effectively reducing rework. Through an edge-cloud collaborative architecture, basic verification processing is performed by edge nodes, followed by integration processing and compliance verification by the cloud server, effectively improving verification efficiency. The processing module corrects each third sub-model based on the first verification results, thus obtaining a standard BIM model of the high-speed railway simply supported beam bridge. In this way, by calibrating the spatial position of the first sub-model received by each collaborative terminal, the number of reworks can be reduced; and by performing basic verification processing through edge nodes, the computing pressure on the cloud server can be shared, forming a layered and efficient verification process to improve verification efficiency. Thus, by effectively reducing the number of reworks and improving verification efficiency, the delivery efficiency of BIM model data in the design stage of high-speed railway simply supported beam bridges can be improved.

[0113] The BIM model data standardization delivery system for the design stage of high-speed railway simply supported beam bridges in this application embodiment is used to implement the aforementioned BIM model data standardization delivery method for the design stage of high-speed railway simply supported beam bridges. Therefore, the specific implementation of the BIM model data standardization delivery system for the design stage of high-speed railway simply supported beam bridges can be found in the embodiment section of the above-mentioned BIM model data standardization delivery method for the design stage of high-speed railway simply supported beam bridges. The specific implementation can be referred to the description of the corresponding embodiments, and will not be repeated here.

[0114] This application also provides an electronic device, comprising: a memory for storing a computer program; and a processor for executing the computer program to implement the steps of the above-described method for standardized delivery of BIM model data in the design phase of a high-speed railway simply supported beam bridge.

[0115] This application also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the above-described method for standardized delivery of BIM model data in the design phase of a high-speed railway simply supported beam bridge.

[0116] In one exemplary embodiment, the aforementioned computer-readable storage medium may include, but is not limited to, various media capable of storing computer programs, such as USB flash drives, read-only memory, random access memory, portable hard drives, magnetic disks, or optical disks.

[0117] Embodiments of the present invention also provide a computer program product, which includes a computer program that, when executed by a processor, implements the steps in any of the embodiments of the BIM model data standardization delivery method for the design stage of high-speed railway simply supported beam bridges.

[0118] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0119] The above provides a detailed description of the standardized delivery method and system for BIM model data during the design phase of a high-speed railway simply supported beam bridge, as provided in this application. Specific examples have been used to illustrate the principles and implementation methods of this application. The descriptions of the embodiments above are merely for the purpose of helping to understand the method and its core ideas. It should be noted that those skilled in the art can make various improvements and modifications to this application without departing from its principles, and these improvements and modifications also fall within the protection scope of this application.

Claims

1. A standardized delivery method for BIM model data during the design phase of a high-speed railway simply supported beam bridge, characterized in that, include: The processing module splits the initial BIM model of the high-speed railway simply supported bridge into multiple first sub-models, and sends each first sub-model to the corresponding collaborative terminal. Each collaborative terminal performs spatial position calibration on the first sub-model and designs the calibrated first sub-model to obtain the second sub-model; The edge node retrieves the corresponding second sub-model and performs basic verification processing. The second sub-model that passes the basic verification processing is then sent to the cloud server as the third sub-model. The cloud server integrates all third-party sub-models to obtain the overall BIM model, performs compliance verification on the overall BIM model, obtains the first verification result, and uploads the first verification result and each third-party sub-model to the processing module. The processing module corrects each third sub-model based on the first verification result and forms a standard BIM model of the high-speed railway simply supported beam bridge.

2. The method according to claim 1, characterized in that, The edge node retrieves the corresponding second sub-model, performs basic verification, and sends the verified second sub-model as the third sub-model to the cloud server, including: The edge node retrieves the corresponding second sub-model and performs standardization processing to obtain the standardized sub-model; the standardization processing includes lightweighting the geometric information of the second sub-model and standardizing the material properties. Based on the design specifications for high-speed railway simply supported beam bridges, edge nodes perform spatial collision detection between components and minimum spacing detection on the standardized second sub-model. If the detection is passed, the standardized second sub-model is sent to the cloud server as the second sub-model that has passed basic verification.

3. The method according to claim 1, characterized in that, The compliance verification of the overall BIM model to obtain the first verification result includes: Based on the acceptance standards for high-speed railway simply supported beam bridges, a multi-disciplinary collaborative conflict detection tool is used to automatically scan and check the rules of the overall BIM model, and the detected conflicts are marked to obtain the first verification result.

4. The method according to claim 1, characterized in that, The processing module corrects the overall BIM model based on the first verification result to obtain a standard BIM model of the high-speed railway simply supported beam bridge, including: Each collaborative terminal generates at least one optimization parameter based on the local data corresponding to the second sub-model and the load characteristics of the high-speed railway simply supported beam bridge, and sends it to the cloud server. The cloud server performs parameter aggregation and iterative optimization on the received multiple optimization parameters to obtain a performance evaluation model, and then sends the performance evaluation model to the processing module. The processing module corrects each third sub-model based on the first verification result and the performance evaluation model, and forms a standard BIM model of the high-speed railway simply supported beam bridge.

5. The method according to claim 4, characterized in that, The step of performing parameter aggregation and iterative optimization on multiple received optimization parameters to obtain a performance evaluation model includes: Step S201: Aggregate the received multiple optimization parameters to form a parameter set; Step S202: Calculate the evaluation value corresponding to the current parameter set using a preset objective function; Step S203: Calculate the difference between the preset expected performance index and the evaluation value, and if the difference is greater than or equal to the preset threshold, determine the adjustment items for the current parameter set; wherein, the adjustment items include the adjustment direction and the adjustment magnitude; Step S204: Adjust the current parameter set based on the adjustment items of the current parameter set to obtain a new parameter set, and repeat steps S202 to S204 until the preset iteration termination condition is met to obtain the optimized parameter set. Step S205: Based on the optimized parameter set, obtain the performance evaluation model.

6. The method according to claim 4, characterized in that, The process of revising each third sub-model based on the first verification result and performance evaluation model to form a standard BIM model for high-speed railway simply supported beam bridges includes: The optimized parameter set is extracted from the performance evaluation model, and the optimized parameter set is applied to each third sub-model to obtain each fourth sub-model; Based on the conflicting items identified in the first verification result, each fourth sub-model is reviewed, and the corresponding fourth sub-model is corrected based on the reviewed conflicting items to obtain each fifth sub-model. Based on the optimized parameter set, compliance verification is performed on each fifth sub-model to obtain the second verification result; Based on the second verification result, each of the corresponding fifth sub-models is corrected, and all the corrected fifth sub-models are assembled to form a standard BIM model of a high-speed railway simply supported beam bridge.

7. The method according to any one of claims 1 to 6, characterized in that, Also includes: The construction terminal is based on the standard BIM model of a high-speed railway simply supported beam bridge. Through inheritance, expansion and supplementation, a construction detail model is formed and then uploaded to the processing module. The processing module reviews the construction detailing model, publishes the approved construction detailing model, and generates the corresponding construction detailing model version number. Based on the published construction detail model, the construction terminal forms a construction process model by supplementing it with design changes, construction plans, construction records, quality control, and safety management information; The construction terminal adjusts information that does not match the actual construction process model, supplements the completion inspection report and acceptance record, and forms the as-built model after verification.

8. A standardized delivery system for BIM model data during the design phase of a high-speed railway simply supported beam bridge, characterized in that: include: The system consists of a processing module, multiple collaborative terminals, multiple edge nodes, and a cloud server; among which, The processing module is configured to split the initial BIM model of the high-speed railway simply supported bridge, obtain multiple first sub-models, and send each first sub-model to the corresponding collaborative terminal. The collaborative terminal is configured to perform spatial position calibration on the first sub-model and design the calibrated first sub-model to obtain the second sub-model. Edge nodes are configured to retrieve the corresponding second sub-model, perform basic verification processing, and send the second sub-model that has passed the basic verification processing as the third sub-model to the cloud server. The cloud server is configured to integrate all third-party sub-models, obtain the overall BIM model, perform compliance verification on the overall BIM model, obtain the first verification result, and upload the first verification result and each third-party sub-model to the processing module. The processing module is also configured to correct each third sub-model based on the first verification result and form a standard BIM model of the high-speed railway simply supported beam bridge.

9. An electronic device, characterized in that, include: Memory, used to store computer programs; A processor, configured to execute the computer program to implement the steps of the BIM model data standardization delivery method for the design phase of high-speed railway simply supported beam bridges as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, enables the standardized delivery method of BIM model data for the design phase of high-speed railway simply supported beam bridges as described in any one of claims 1 to 7.

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