Multi-design-stage-oriented draft tube adaptive parameterized BIM modeling method and system
By using the adaptive parametric BIM modeling method, the problem of incomplete parameters in tailrace pipe design was solved, realizing automated and standardized design in multiple design stages, improving design efficiency and model accuracy, and reducing the design error rate.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-31
- Publication Date
- 2026-04-10
AI Technical Summary
Existing tailrace pipe design and modeling methods require users to input complete and accurate cross-sectional parameters, which cannot adapt to situations where parameters are incomplete in the early design stage. They lack intelligent reasoning and automatic generation capabilities, cannot quickly generate generalized models that conform to engineering experience, and lack differentiated design rules for concrete and metal tailrace pipes.
An adaptive parametric BIM modeling method oriented towards multiple design stages is adopted. Through multi-source data reception and preprocessing, intelligent judgment of elbow pipe type and template selection, an adaptive parametric BIM model is generated, including the automatic processing of basic hydraulic parameters and detailed design parameters. Combined with a decision rule base based on engineering experience and specification requirements, the generation of a 3D BIM model is realized.
It enables automated and standardized design across multiple design stages, reduces repetitive manual operations, improves design efficiency, ensures model consistency and accuracy, reduces design error rates, and enhances design capabilities and efficiency.
Smart Images
Figure CN121834976A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of tailrace pipe design technology, specifically to an adaptive parametric BIM modeling method and system for tailrace pipes across multiple design stages. Background Technology
[0002] The draft tube is an important component of a reaction turbine, located below the runner. Its main function is to guide the water flow to the downstream channel and recover the energy of the tailrace. Draft tubes come in three forms: diffuser, straight cone, and elbow. The diffuser type creates a dynamic vacuum, while the elbow type consists of a straight cone, an elbow, and a diffuser section, and is commonly used in the concrete pouring structure of large hydropower stations. The draft tube reduces losses by recovering kinetic energy from the runner outlet, thereby improving turbine efficiency. Its vacuum level is related to the timing of the guide vane closure.
[0003] Before manufacturing, tailrace pipes need to be designed and modeled. The current design methods used for tailrace pipe modeling have the following problems: The current tailrace pipe modeling requires users to input complete and accurate cross-sectional parameters, which cannot adapt to situations where parameters are incomplete in the early design stage. It lacks the ability to perform intelligent reasoning and automatic generation based on key dimensions (such as the diameter of the volute), cannot quickly generate a generalized model that conforms to engineering experience, and does not have the function of determining the elbow type based on hydraulic parameters. Furthermore, it lacks design rules for the differences between concrete and metal tailrace pipes. Summary of the Invention
[0004] The purpose of this invention is to provide an adaptive parametric BIM modeling method and system for tailrace pipes in multiple design stages, which solves the technical problems mentioned in the background art.
[0005] To solve the above-mentioned technical problems, the present invention specifically provides the following technical solution: An adaptive parametric BIM modeling method for tailrace pipes across multiple design phases includes the following steps: S100, Multi-source data reception and preprocessing, the multi-source data includes basic hydraulic parameters and detailed design parameters, the detailed design parameters include three different types of parameter sets; S200, Elbow Type Intelligent Judgment and Template Selection: After receiving the basic hydraulic parameters, the elbow type judgment module is started. The elbow type judgment module makes a decision based on the judgment logic, selects the material of the tailrace pipe based on the result of the decision, and automatically loads the corresponding parametric BIM model template and a dedicated empirical parameter association rule library. The elbow type judgment module has a built-in decision rule library designed and generated based on engineering experience and specification requirements. The judgment logic of the decision is executed according to the decision rule library. S300, based on adaptive model generation in the design phase: automatically calls the corresponding processing logic to generate different BIM models for the three different types of parameter sets in the input detailed design parameters. S400, Parametric BIM Model Generation and Intelligent Output: Based on a defined set of parameters, the corresponding parametric family is instantiated in the BIM platform to generate a 3D BIM model containing complete geometric information and non-geometric attributes, and the results are output.
[0006] As a preferred embodiment of the present invention, in step S100, the basic hydraulic parameters include at least the design flow rate, the tailrace pipe inlet diameter, and the design head.
[0007] As a preferred embodiment of the present invention, in step S100, the three different types of parameter sets are respectively, according to the different depths of the design stage: Type 1, preliminary planning stage, includes at least one key parameter; Type 2, preliminary design stage, includes a set of core parameters, and these core parameters can define the basic shape of the tailrace pipe; Type 3, Construction Drawing Stage: Includes a complete two-dimensional single-line diagram or parameter table of the tailrace pipe.
[0008] In a preferred embodiment of the present invention, in step S200, the decision-making logic of the decision rule base when making a decision is as follows: S201, Based on the design head, make a judgment: Set the head threshold H0, the design head is H, compare the size of H and H0 and select the corresponding type of tailwater pipe; S202, based on flow velocity judgment: set the flow velocity threshold as V0, the flow velocity as V, compare the magnitude of V and V0 and select the corresponding type of tailwater pipe; S203, based on the results of the design head and flow velocity assessment, finally determined the type of tailrace pipe.
[0009] As a preferred embodiment of the present invention, in step S300, the processing logic for generating BIM models for different types of parameter sets is as follows: S301, for type 1: When the user inputs at least one key parameter, access the empirical parameter association rule library corresponding to the selected tailpipe type, and drive the parameterized template to generate a standard tailpipe model that conforms to engineering conventions. S302, for type 2: When the user inputs a set of core parameters, the parameter input items related to the selected tailpipe type are generated for selection, and the selected parameters are used as the main control parameters to drive the generation of a parameterized BIM model; S303, for type 3: It uses an integrated internal 2D drawing intelligent recognition engine to identify and extract graphic information from 2D single-line drawings or parameter tables, and maps the graphic information to the core parameters in S302. Then, it uses the core parameters as the main control parameters to drive the generation of a parametric BIM model.
[0010] As a preferred embodiment of the present invention, in step S400, the output includes a three-dimensional BIM model, two-dimensional engineering drawings, a bill of quantities, and a report on key design parameters for the selected tailrace pipe type.
[0011] An adaptive parametric BIM modeling system for tailrace pipes in multiple design phases is used to implement the modeling method described above. It includes a data layer, an intelligent processing layer, a model layer, and an application layer. The system composed of the data layer, intelligent processing layer, model layer, and application layer adopts the modeling method described above during the modeling process.
[0012] Compared with the prior art, the present invention has the following advantages: (1) The invention introduces technical and economic decision-making based on hydraulic parameters (selection of tailrace pipe type) at the very beginning of the design, which advances, automates and standardizes the decision-making process that traditionally relies on expert experience and is prone to repeated changes in the later stages, thus avoiding major design rework caused by changes in tailrace pipe type in the later stages and ensuring the correctness of the design route from the source.
[0013] (2) The present invention significantly shortens the tailrace pipe modeling work that traditionally takes several days to several weeks through an adaptive modeling mechanism. Intelligent identification and parameterization drive reduce a lot of repetitive manual operations and greatly improve design efficiency.
[0014] (3) Based on a unified parametric model, this invention ensures that the core parameters of the model are consistent at each stage, and the modification is linked. Intelligent drawing recognition reduces manual input errors. Attached Figure Description
[0015] To more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely exemplary, and those skilled in the art can derive other embodiments based on the provided drawings without creative effort.
[0016] Figure 1 This is a flowchart of the decision-making logic of the elbow tube type intelligent judgment module in this invention; Figure 2 This is a flowchart illustrating the adaptive modeling of the present invention across three stages; Figure 3This is a schematic diagram of the intelligent recognition and parameter extraction process of two-dimensional drawings according to the present invention. Detailed Implementation
[0017] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0018] The concepts involved in this application will first be described with reference to the accompanying drawings. It should be noted that the following descriptions of various concepts are only for the purpose of making the content of this application easier to understand and do not constitute a limitation on the scope of protection of this application; furthermore, the embodiments and features in the embodiments of this application can be combined with each other unless otherwise specified. This application will now be described in detail with reference to the accompanying drawings and embodiments.
[0019] like Figures 1 to 3 As shown, this invention provides an adaptive parametric BIM modeling method for tailrace pipes across multiple design stages, including the following steps: S100, Multi-source data reception and preprocessing, the multi-source data includes basic hydraulic parameters and detailed design parameters, the detailed design parameters include three different types of parameter sets; S200, Elbow Type Intelligent Judgment and Template Selection: After receiving the basic hydraulic parameters, the elbow type judgment module is started. The elbow type judgment module makes a decision based on the judgment logic, selects the material of the tailrace pipe based on the result of the decision, and automatically loads the corresponding parametric BIM model template and a dedicated empirical parameter association rule library. The elbow type judgment module has a built-in decision rule library designed and generated based on engineering experience and specification requirements. The judgment logic of the decision is executed according to the decision rule library. The parametric BIM model template is a BIM model template made based on the existing publicly available tailrace pipe parameters. If the tailrace pipe type determined by the decision is a metal tailrace pipe, the inlet circular and outlet rectangular dimensions are determined, and the metal tailrace pipe is laid out and produced by placing it on the axis and the gradual shape of the production axis. If the tailrace pipe type determined by the decision is a concrete tailrace pipe, the standard size shape of the concrete tailrace pipe is generated first, and the concrete tailrace elbow pipe is generated by scaling the inlet size proportionally.
[0020] The empirical parameter association rule library is a rule library containing the association ratio of the dimensions of each component under the standard size of the concrete tailpipe.
[0021] S300, based on adaptive model generation in the design phase: automatically calls the corresponding processing logic to generate different BIM models for the three different types of parameter sets in the input detailed design parameters. S400, Parametric BIM Model Generation and Intelligent Output: Based on a defined set of parameters, the corresponding parametric family is instantiated in the BIM platform to generate a 3D BIM model containing complete geometric information and non-geometric attributes, and the results are output.
[0022] In step S100, the basic hydraulic parameters include at least the design flow rate, tailrace pipe inlet diameter, and design head.
[0023] Design flow rate (denoted as Q, unit: m³) 3 The following parameters must be included for preliminary determination of the tailrace pipe type: tailrace pipe inlet diameter (D, unit: m) and design head (H, unit: m).
[0024] In step S100, the three different types of parameter sets are as follows, depending on the depth of the design stage: Type 1, preliminary planning stage, includes at least one key parameter; Such as the inlet diameter of the volute.
[0025] Type 2, preliminary design stage, includes a set of core parameters, and these core parameters can define the basic shape of the tailrace pipe; It includes a set of core parameters (5-8) that define the basic shape of the tailrace pipe, such as inlet diameter, outlet height, total height, and outlet width.
[0026] Type 3, Construction Drawing Stage: Includes a complete two-dimensional single-line diagram or parameter table of the tailrace pipe.
[0027] Includes a complete two-dimensional single-line diagram of the tailrace pipe (such as a two-dimensional drawing file in DWG / DXF format) or a detailed parameter table.
[0028] In step S200, the decision-making logic of the decision rule base when making a decision is as follows: S201, Based on the design head, make a judgment: Set the head threshold H0, the design head is H, compare the size of H and H0 and select the corresponding type of tailwater pipe; S202, based on flow velocity judgment: set the flow velocity threshold as V0, the flow velocity as V, compare the magnitude of V and V0 and select the corresponding type of tailwater pipe; S203, based on the results of the design head and flow velocity assessment, finally determined the type of tailrace pipe.
[0029] After receiving the basic hydraulic parameters, design flow rate (Q, unit: m³ / s), tailrace pipe inlet diameter (D, unit: m), and design head (H, unit: m), the elbow type determination module is automatically activated. This module has a built-in decision rule library based on a large amount of engineering experience and specification requirements. The elbow is a part of the tailrace pipe, which is the elbow section on the tailrace pipe.
[0030] H0 is the head threshold, assuming the head threshold H0 is 150m (see attached). Figure 1 As shown in the figure, when H>H0, a metal tailwater pipe is initially selected, and when H≤H0, a concrete tailwater pipe is initially selected.
[0031] When V>V0, a metal tailwater pipe is initially selected; when V≤V0, a concrete tailwater pipe is initially selected.
[0032] The results of the head and flow velocity assessments are combined for a comprehensive judgment to ultimately determine the recommended tailrace pipe type.
[0033] Based on the decision results, after selecting the type of tailwater pipe, the corresponding parametric BIM model template and dedicated empirical parameter association rule library are automatically loaded. Concrete tailwater pipes and metal tailwater pipes have independent template libraries and empirical parameter association rule libraries to adapt to their different shape characteristics, size proportions and design points.
[0034] V is the flow velocity, which is calculated using the formula V=Q / (pi*D*D / 4), where Pi is 3.1415926.
[0035] In step S300, the processing logic for generating BIM models for different types of parameter sets is as follows: S301, for type 1: When the user inputs at least one key parameter, access the empirical parameter association rule library corresponding to the selected tailpipe type, and drive the parameterized template to generate a standard tailpipe model that conforms to engineering conventions. The empirical parameter association rule library defines empirical formulas between key dimensions (e.g., for concrete tailpipes, total length L=k1×D, outlet width B=k2×D; for metal tailpipes, there are different coefficients k1' and k2'). After inputting key parameters, it automatically calculates all necessary dimensions and drives the parametric template to generate a standard tailpipe model that conforms to engineering conventions.
[0036] S302, for type 2: When the user inputs a set of core parameters, the parameter input items related to the selected tailpipe type are generated for selection, and the selected parameters are used as the main control parameters to drive the generation of a parameterized BIM model; After the user inputs a set of core parameters, the parameter input items most relevant to the selected tailpipe type are directly presented. After the parameters are selected and input, these parameters serve as the main control parameters and directly drive the parametric BIM model. The complex curves and surface relationships within the BIM model are all bound to these parameters through formulas, realizing "parameter-driven, model linkage".
[0037] S303, for type 3: It uses an integrated internal 2D drawing intelligent recognition engine to identify and extract graphic information from 2D single-line drawings or parameter tables, and maps the graphic information to the core parameters in S302. Then, it uses the core parameters as the main control parameters to drive the generation of a parametric BIM model.
[0038] The two-dimensional drawing intelligent recognition engine automatically parses two-dimensional single-line drawings or parameter tables (such as DWG / DXF format files) and obtains graphic information, including graphic elements (i.e., straight lines, arcs and splines in two-dimensional drawings), dimension annotations and text annotations, as well as the geometric information and positioning dimensions of the tailrace pipe centerline and key control sections (such as inlet, elbow pipe, outlet, etc.).
[0039] The identified graphic information is mapped to the core parameter set in step S302 and automatically filled into the parametric model to generate a high-precision BIM model. This process can also be cross-validated with the judgment result of step S302.
[0040] In step S400, the outputs include a 3D BIM model, 2D engineering drawings, a bill of quantities, and a report of key design parameters for the selected tailrace pipe type.
[0041] This application achieves full design cycle coverage and forward-looking intelligent decision-making. It introduces technical and economic decision-making based on hydraulic parameters (tailrace pipe type selection) at the very beginning of the design process, making the decision-making process, which traditionally relies on expert experience and is prone to repetition in the later stages, more proactive, automated, and standardized. This avoids major design rework caused by changing the tailrace pipe type later, ensuring the correctness of the design route from the source and effectively reducing the workload of design changes caused by improper scheme selection.
[0042] Secondly, this application can significantly improve the design efficiency and intelligence level of tailrace pipes. Through the adaptive modeling mechanism, the tailrace pipe modeling work that traditionally takes several days to several weeks is greatly shortened, the early scheme generation time is greatly reduced, and intelligent recognition and parameterization drive reduce a lot of repetitive manual operations, enabling even non-senior engineers to quickly generate reasonable schemes.
[0043] In addition, this application can ensure the consistency of core parameters of the model at each stage based on a unified parametric source model (i.e., the initial input basic hydraulic parameters and detailed parameters). The model can be linked when parameters are modified, and intelligent recognition of drawings reduces manual input errors. The proportion of models that pass the verification on the first try is significantly increased, the design error rate is reduced, and the consistency of the model at different stages is fundamentally guaranteed, which can effectively ensure the quality, consistency and accuracy of the model.
[0044] This application solidifies excellent engineering design experience and standard requirements in the form of rule base and parametric logic, forming reusable design assets. This reduces the over-reliance on the experience of individual senior engineers in tailrace pipe design, facilitates the accumulation and standardization of design knowledge, enhances overall design capabilities, deeply solidifies professional design knowledge, and lowers the technical threshold.
[0045] This invention also proposes an adaptive parametric BIM modeling system for tailrace pipes in multiple design stages, which is used to implement the modeling method described above, including a data layer, an intelligent processing layer, a model layer, and an application layer.
[0046] The embodiments and / or implementation methods described above are merely preferred embodiments and / or implementation methods for implementing the technology of the present invention, and are not intended to limit the implementation methods of the technology of the present invention in any way. Any person skilled in the art can make some modifications or alterations to other equivalent embodiments without departing from the scope of the technical means disclosed in the content of the present invention, but they should still be regarded as the technology or embodiments that are substantially the same as the present invention. This document uses specific examples to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the methods and core ideas of this application. The above descriptions are only preferred embodiments of this application. It should be noted that due to the limitations of written expression, while there are objectively infinite specific structures, those skilled in the art can make several improvements, modifications, or changes without departing from the principles of this application, and can also combine the above technical features in an appropriate manner. These improvements, modifications, changes, or combinations, or the direct application of the inventive concept and technical solution to other situations without modification, should all be considered within the scope of protection of this application.
Claims
1. An adaptive parametric BIM modeling method for tailrace pipes across multiple design stages, characterized in that, Including the following steps: S100, Multi-source data reception and preprocessing, the multi-source data includes basic hydraulic parameters and detailed design parameters, the detailed design parameters include three different types of parameter sets; S200, Elbow Type Intelligent Judgment and Template Selection: After receiving the basic hydraulic parameters, the elbow type judgment module is started. The elbow type judgment module makes a decision based on the judgment logic, selects the material of the tailrace pipe based on the result of the decision, and automatically loads the corresponding parametric BIM model template and a dedicated empirical parameter association rule library. The elbow type judgment module has a built-in decision rule library designed and generated based on engineering experience and specification requirements. The judgment logic of the decision is executed according to the decision rule library. S300, based on adaptive model generation in the design phase: automatically calls the corresponding processing logic to generate different BIM models for the three different types of parameter sets in the input detailed design parameters. S400, Parametric BIM Model Generation and Intelligent Output: Based on a defined set of parameters, the corresponding parametric family is instantiated in the BIM platform to generate a 3D BIM model containing complete geometric information and non-geometric attributes, and the results are output.
2. The adaptive parametric BIM modeling method for tailrace pipes oriented towards multiple design stages as described in claim 1, characterized in that, In step S100, the basic hydraulic parameters include at least the design flow rate, tailrace pipe inlet diameter, and design head.
3. The adaptive parametric BIM modeling method for tailrace pipes oriented towards multiple design stages as described in claim 1, characterized in that, In step S100, the three different types of parameter sets are as follows, depending on the depth of the design stage: Type 1, preliminary planning stage, includes at least one key parameter; Type 2, preliminary design stage, includes a set of core parameters, and these core parameters can define the basic shape of the tailrace pipe; Type 3, Construction Drawing Stage: Includes a complete two-dimensional single-line diagram or parameter table of the tailrace pipe.
4. The adaptive parametric BIM modeling method for tailrace pipes oriented towards multiple design stages as described in claim 1, characterized in that, In step S200, the decision-making logic of the decision rule base when making a decision is as follows: S201, Based on the design head, make a judgment: Set the head threshold H0, the design head is H, compare the size of H and H0 and select the corresponding type of tailwater pipe; S202, based on flow velocity judgment: set the flow velocity threshold as V0, the flow velocity as V, compare the magnitude of V and V0 and select the corresponding type of tailwater pipe; S203, based on the results of the design head and flow velocity assessment, finally determined the type of tailrace pipe.
5. The adaptive parametric BIM modeling method for tailrace pipes oriented towards multiple design stages as described in claim 1, characterized in that, In step S300, the processing logic for generating BIM models for different types of parameter sets is as follows: S301, for type 1: When the user inputs at least one key parameter, access the empirical parameter association rule library corresponding to the selected tailpipe type, and drive the parameterized template to generate a standard tailpipe model that conforms to engineering conventions. S302, for type 2: When the user inputs a set of core parameters, the parameter input items related to the selected tailpipe type are generated for selection, and the selected parameters are used as the main control parameters to drive the generation of a parameterized BIM model; S303, for type 3: It uses an integrated internal 2D drawing intelligent recognition engine to identify and extract graphic information from 2D single-line drawings or parameter tables, and maps the graphic information to the core parameters in S302. Then, it uses the core parameters as the main control parameters to drive the generation of a parametric BIM model.
6. The adaptive parametric BIM modeling method for tailrace pipes oriented towards multiple design stages as described in claim 1, characterized in that, In step S400, the outputs include a 3D BIM model, 2D engineering drawings, a bill of quantities, and a report of key design parameters for the selected tailrace pipe type.
7. An adaptive parametric BIM modeling system for tailrace pipes across multiple design stages, characterized in that: The method for implementing the modeling method according to any one of claims 1-7 includes a data layer, an intelligent processing layer, a model layer, and an application layer.