Converter station valve hall steel roof truss structure design method and system based on BIM technology
Through the multi-professional collaborative design and optimization algorithm of BIM technology, the problems of discrete information and low collision detection efficiency in the steel roof structure design of the converter station valve hall are solved, and accurate expression of equipment and pipeline spatial relationships and digital management are realized, and design quality and efficiency are improved.
Patent Information
- Application Number
- CN202510412187.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-02
- Publication Date
- 2025-07-22
AI Technical Summary
The existing technology has problems such as discrete design information, low professional coordination efficiency, easy to cause errors, missing, leaks, and bumps in the steel roof framing structure design of the valve hall of the converter station. It lacks collaborative optimization methods for steel roof framing, equipment and pipelines, and the collision detection efficiency is low, making it difficult to deal with complex arrangements, which affects the design quality and later operation and maintenance efficiency.
Using a design method based on BIM technology, the equipment and pipeline information is determined through multiple professional collaboration, and the steel roof strata separation scheme is generated. The steel roof strata topology is optimized by genetic algorithms, combined with spatial hash collision detection, parametric modeling and collision inspection are performed to ensure no conflicts, and uploaded to the digital management platform.
It realizes a more intuitive and accurate expression of the relationship between equipment and pipeline space, improves design efficiency, avoids errors, missing, leaks, and touching problems, ensures design quality, and supports digital management and full-life cycle management, improving the level of design and construction.
Smart Images

Figure CN120354485A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to a design method and system for the steel roof truss structure of a converter station valve hall based on BIM technology, belonging to the technical field of building structure design. Background Art
[0002] The domestic power design industry is seeking solutions for three-dimensional digital design and digital handover of power transmission and transformation projects, including overall system solutions and corresponding software tools. Designers have carried out relevant explorations and practices based on actual projects, accumulated certain experience, and achieved corresponding results in projects.
[0003] CN106202831A discloses a pipeline comprehensive optimization method based on BIM. The method includes establishing a three-dimensional model of a pipeline project based on BIM modeling, performing collision detection using a collision detection algorithm based on the pipeline model, conducting engineering quantity statistics and cost estimation on the three-dimensional pipeline model after collision detection, and finally determining the optimal solution for the pipeline project. This method introduces cost factors into the overall optimization of pipeline integration, but does not provide a solution for the collaborative optimization of the steel roof truss structure and pipelines.
[0004] In terms of the integration of the valve hall real scene model and the BIM model, CN117150621A proposes a method for integrating the valve hall real scene model and the BIM model, which combines the real scene model of the valve hall with the model based on BIM technology to meet the increasingly complex design requirements of valve hall structural components and complex pipeline layouts in substation projects. This method promotes the improvement of project quality and the acceleration of completion speed, but does not deeply explore the parametric design and optimization issues of the steel roof truss structure.
[0005] The above existing technologies still have the following problems: First, the traditional design of the roof truss structure of the converter station valve hall uses two-dimensional plane drawings for preliminary planning and collision inspection, resulting in problems such as discrete design information, low professional cooperation efficiency, and easy occurrence of "errors, omissions, leaks, and collisions"; second, the existing BIM applications mostly focus on general building fields and lack consideration for the steel roof truss structure design of special buildings such as converter station valve halls; third, there is a lack of a collaborative optimization method for the steel roof truss structure and equipment and pipelines, making it difficult to achieve the economy of the steel structure while meeting the equipment installation requirements; fourth, the existing collision detection methods are less efficient and difficult to cope with the complex equipment and pipeline layouts in the converter station valve hall; fifth, there is a lack of a method for effectively integrating design results with a digital management platform, affecting the later operation and maintenance efficiency. These problems pose challenges to the difficulty, progress, and safety of the construction of the converter station valve hall project. Summary of the Invention
[0006] In order to solve the problems existing in the above-mentioned existing technologies, the present invention proposes a design method and system for the steel roof truss structure of a converter station valve hall based on BIM technology.
[0007] The technical solution of the present invention is as follows:
[0008] On the one hand, the present invention provides a design method for the steel roof truss structure of a converter station valve hall based on BIM technology, including the following steps:
[0009] Determine the valve hall equipment information and pipeline information through multi-disciplinary collaboration, and establish the valve hall size and equipment pipeline positioning reference; based on the equipment plane and elevation layout, generate the steel roof truss space support structure and pipeline trajectory separation plan;
[0010] Construct a multi-disciplinary refined three-dimensional model on the BIM platform, and realize the spatial positioning of the steel roof truss framework and pipelines through parametric modeling;
[0011] Perform collision checks and iteratively optimize the three-dimensional model to ensure that there are no conflicts between pipelines and structures; upload the verified three-dimensional model to the digital management platform;
[0012] Among them, the steps of generating the steel roof truss space support structure are as follows:
[0013] Steel roof truss topology optimization algorithm based on genetic algorithm:
[0014] Input the initial load distribution of the steel roof truss, equipment installation constraint conditions, and material cost weight factor, and iteratively generate the optimal steel roof truss topology through crossover, mutation, and selection operations, and output a spatial layout plan that meets the strength requirements and has the minimum steel consumption;
[0015] The collision check adopts fast collision detection based on spatial hashing. Specifically, the three-dimensional model is voxelized into a cube grid with a side length of 50 mm, and the retrieval of collision voxel pairs is accelerated through hash table indexing;
[0016] Define key collisions: structure-equipment interference, and secondary collisions: insufficient pipeline spacing. There are two types of conflict levels. Key collisions are given priority and secondary collisions are allowed to exist in the manual review buffer area.
[0017] As a preferred implementation, the pipeline trajectory separation plan includes:
[0018] Independent space trajectory planning for cable trays, heating and ventilation pipes, valve cooling water pipes, and hydraulic pipes;
[0019] Generate the pipeline support foundation topology structure based on the steel beam plane layout.
[0020] As a preferred implementation, the parametric modeling specifically includes:
[0021] Construct a three-dimensional coordinate system with the reference height of the benchmark as the origin;
[0022] Perform geometric constraint modeling on embedded parts, hanging points, and pipeline connection nodes;
[0023] Dynamically adjust the structural dimensions of the steel roof truss based on equipment layout parameters;
[0024] Dynamically adjust the grid density of the connection nodes of the steel roof truss according to the pipeline bending radius threshold and the structural stress concentration coefficient to ensure the balance between model accuracy and calculation efficiency;
[0025] Taking the equipment installation error ≤ 3mm and the pipeline slope ≥ 0.5% as hard constraints, solve the optimal spatial coordinates of the pipeline and the steel roof truss by the Lagrange multiplier method.
[0026] As a preferred implementation manner, the objects of the collision check include:
[0027] Spatial interference between pipelines and steel roof truss members;
[0028] Trajectory conflicts between pipelines of different specialties;
[0029] The matching degree between the equipment installation position and the structural support points.
[0030] As a preferred implementation manner, it further includes the steps of:
[0031] Integrate an accessibility verification module for the valve hall operation and maintenance passage in the building model, and optimize the equipment maintenance space layout through three-dimensional path analysis.
[0032] As a preferred implementation manner, the digital management platform supports:
[0033] Construction simulation and progress management based on the three-dimensional model;
[0034] Structural stress analysis and visualization of load distribution;
[0035] Data association of the entire life cycle of equipment;
[0036] Through the Kalman filter matching of the sensor data stream and the BIM model, achieve sub-centimeter-level synchronization accuracy between the physical valve hall and the virtual model;
[0037] And analyze the stress nephogram of the steel roof truss based on the CNN convolutional neural network, automatically identify potential weak nodes and recommend reinforcement solutions.
[0038] As a preferred implementation manner, it further includes the step of: generating a two-dimensional construction drawing set linked to the three-dimensional model, and the drawing set includes component positioning details with three-dimensional coordinate annotations and a collision check report.
[0039] On the other hand, the present invention also provides a design system for the steel roof truss of the converter station valve hall based on BIM technology, including:
[0040] The basic design module determines the valve hall equipment information and pipeline information through multi-disciplinary collaboration, and establishes the valve hall size and the positioning reference for equipment and pipelines; based on the plane and elevation layouts of the equipment, it generates the spatial support structure of the steel roof truss and the pipeline trajectory separation plan;
[0041] The BIM model construction module is used to construct a multi-disciplinary refined 3D model on the BIM platform, and realizes the spatial positioning of the steel roof truss framework and pipelines through parametric modeling;
[0042] The model verification and upload module is used to perform collision checks and iteratively optimize the 3D model to ensure that there are no conflicts between pipelines and structures; upload the verified 3D model to the digital management platform;
[0043] Among them, the steps of generating the spatial support structure of the steel roof truss are as follows:
[0044] The steel roof truss topology optimization algorithm based on the genetic algorithm:
[0045] Input the initial load distribution of the steel roof truss, the equipment installation constraint conditions, and the material cost weight factor, and iteratively generate the optimal steel roof truss topology through crossover, mutation, and selection operations, and output a spatial layout plan that meets the strength requirements and has the minimum steel consumption;
[0046] The collision check adopts fast collision detection based on spatial hashing. Specifically: the 3D model is voxelized into a cubic grid with a side length of 50 mm, and the retrieval of collision voxel pairs is accelerated through hash table indexing;
[0047] Define two types of key collisions: structure-equipment interference, and secondary collisions: insufficient pipeline spacing. For these two types of conflict levels, key collisions are preferentially processed and secondary collisions are allowed to exist in the manual review buffer area.
[0048] On the other hand, the present invention also proposes an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, it implements the method for designing the steel roof truss structure of the converter station valve hall based on BIM technology as described in any embodiment of the present invention.
[0049] On the other hand, the present invention also proposes a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, it implements the method for designing the steel roof truss structure of the converter station valve hall based on BIM technology as described in any embodiment of the present invention.
[0050] The beneficial effects of the present invention are as follows:
[0051] Compared with the traditional two-dimensional plane drawing design method, the converter station valve hall roof truss structure design method provided by the present invention can more intuitively and accurately express the spatial relationship between various equipment and pipelines, effectively avoiding problems such as "errors, omissions, leaks, and collisions". Through parametric modeling and collision checking, the design efficiency is significantly improved, and the design quality is guaranteed. At the same time, the three-dimensional model can be transferred to construction, operation and maintenance, management and other departments in digital form, realizing the refined construction, intelligent operation and full-life cycle management of the project, providing an accurate data basis for building digital intelligent management. The steel roof truss topology optimization based on genetic algorithm and the fast collision detection technology based on spatial hashing further improve the scientificity and efficiency of the design, making the design and construction of the converter station valve hall reach a higher level.
[0052] Additional aspects and advantages of the present invention will be set forth in the following description, and in part will be obvious from the description, or may be learned by practice of the present invention. In addition, the various aspects and advantages of the present invention may be realized and obtained by the method steps and combinations particularly pointed out in the appended claims. BRIEF DESCRIPTION OF THE DRAWINGS
[0053] Figure 1 It is a schematic flow chart of the method according to the first embodiment of the present invention;
[0054] Figure 2 It is an example diagram of the overall model of the valve hall in the embodiment of the present invention;
[0055] Figure 3 It is an example diagram of the valve hall structure model in the embodiment of the present invention;
[0056] Figure 4 It is an example diagram of the valve hall steel roof truss model in the embodiment of the present invention;
[0057] Figure 5 It is an example diagram of the cable tray model in the embodiment of the present invention;
[0058] Figure 6 It is an example diagram of the heating and ventilation duct model in the embodiment of the present invention;
[0059] Figure 7 It is an example diagram of the hydraulic pipeline model in the embodiment of the present invention;
[0060] Figure 8 It is an example diagram of the combined model of different specialties in the embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0061] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.
[0062] It should be understood that the step numbers used in the text are only for convenient description and do not limit the execution order of the steps.
[0063] It should be understood that the terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the specification of the present invention and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include the plural forms.
[0064] The terms "comprising" and "including" indicate the presence of the described features, wholes, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or their combinations.
[0065] The term " / or" refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.
[0066] Embodiment 1:
[0067] See Figure 1 , this embodiment provides a design method for the steel roof truss structure of a converter station valve hall based on BIM technology, including the following steps:
[0068] S100. Determine the equipment information and pipeline information of the valve hall through multi-disciplinary collaboration, and establish the benchmark for the valve hall size and equipment pipeline positioning; and generate the spatial support structure of the steel roof truss and the pipeline trajectory separation scheme based on the equipment plane and elevation layout.
[0069] In this step, first, organize multi-disciplinary technical personnel such as architecture, structure, electricity, HVAC, and hydraulic engineering to hold a collaborative design meeting to jointly determine the equipment information and pipeline information in the converter station valve hall. The equipment information includes parameters such as the model, size, weight, and installation position requirements of various power equipment in the valve hall; the pipeline information includes data such as the specifications, routes, and connection points of cable trays, warm air ducts, valve cooling water pipes, and hydraulic pipes.
[0070] Based on the collected information, establish the positioning reference for the valve hall dimensions and equipment pipelines. The valve hall is usually a rectangular space with a length of 60 - 80 meters, a width of 30 - 40 meters, and a height of 20 - 25 meters. The positioning reference uses a three-dimensional rectangular coordinate system, with the ground at the southwest corner of the valve hall as the origin (0, 0, 0), the positive X-axis direction to the east, the positive Y-axis direction to the north, and the positive Z-axis direction upward. The spatial positions of all equipment and pipelines are positioned based on this coordinate system to ensure the consistency and traceability of data among different specialties.
[0071] After determining the equipment plan layout and elevation layout, generate the spatial support structure of the steel roof truss. The steel roof truss structure needs to meet the load-bearing requirements of various types of equipment in the valve hall and at the same time reserve a reasonable laying space for pipelines.
[0072] The generation of the spatial support structure of the steel roof truss adopts a steel roof truss topology optimization algorithm based on the genetic algorithm: First, input the initial load distribution data of the steel roof truss, including dead load, live load, wind load, and seismic action, etc.; then input the equipment installation constraint conditions, such as the installation positions, loads, and reserved space requirements of the main equipment in the valve hall; finally, input the material cost weight factor, usually set as a value between 1.0 - 1.5, which is used to balance the structural strength and economy.
[0073] The implementation process of the genetic algorithm includes: initializing the population, randomly generating 100 steel roof truss topology structure schemes that meet the basic constraint conditions; through the crossover operation, select two parent structure schemes and generate new offspring structure schemes with a crossover probability of 0.8; through the mutation operation, randomly adjust the node positions and member connection relationships in the offspring structure with a mutation probability of 0.1; through the selection operation, evaluate the performance of each scheme based on the fitness function. The fitness function comprehensively considers structural strength, stiffness, stability, and material consumption, and retains the schemes with high fitness for the next generation of iteration; after 500 generations of iterative calculations, output the spatial layout scheme that meets the strength requirements and has the minimum steel consumption.
[0074] At the same time, generate a pipeline trajectory separation scheme, including the independent space trajectory planning of cable troughs, heating and ventilation pipes, valve cooling water pipes, and hydraulic pipes. The cable troughs are usually arranged at the bottom of the valve hall, at a height of 0.5 - 1.0 meters from the ground; the heating and ventilation pipes are arranged at the upper part of the valve hall, at a distance of 1.5 - 2.5 meters from the roof; the valve cooling water pipes are arranged in the middle of the valve hall, with a horizontal distance of 1.0 - 1.5 meters from the main equipment; the hydraulic pipes are arranged at the bottom of the valve hall, with a vertical distance of 0.8 - 1.2 meters from the cable troughs.
[0075] Generate the topological structure of the pipeline support foundation based on the plane layout of the steel beams. The spacing of the pipeline supports is determined according to the pipeline type: the spacing of the cable tray supports is 1.5 - 2.0 meters, the spacing of the heating and ventilation pipe supports is 2.0 - 3.0 meters, the spacing of the valve cooling water pipe supports is 2.5 - 3.5 meters, and the spacing of the hydraulic pipeline supports is 2.0 - 2.5 meters. The support foundation points are preferably selected at the steel beam nodes to reduce the additional stress on the steel structure.
[0076] S200. Build a multi-disciplinary refined 3D model including architecture, structure, electrical, HVAC, and hydraulic engineering on the BIM platform, and achieve the spatial positioning of the steel roof truss and pipelines through parametric modeling.
[0077] On the BIM platform, use the parametric modeling method to build a multi-disciplinary refined 3D model. The parametric modeling specifically includes:
[0078] Construct a 3D coordinate system with the reference height as the origin. The reference height is usually selected as the floor elevation of the valve hall and set as the absolute elevation of 0.000 meters in the BIM platform. All components and equipment are positioned based on this coordinate system.
[0079] Conduct geometric constraint modeling for embedded parts, hanging points, and pipeline connection nodes. The position accuracy requirement for embedded parts is ±5mm, the position accuracy requirement for hanging points is ±8mm, and the position accuracy requirement for pipeline connection nodes is ±10mm. Geometric constraints include parallel constraints, perpendicular constraints, coaxial constraints, distance constraints, etc., to ensure that the relative position relationship of each component in space meets the design requirements.
[0080] Dynamically adjust the steel roof truss structure dimensions based on the equipment layout parameters. When the equipment layout changes, automatically adjust parameters such as the span, height, and node positions of the steel roof truss through the parameter linkage mechanism to ensure the coordination between the steel roof truss structure and the equipment layout. For example, when the position of the main transformer in the valve hall moves 1 meter northward, the corresponding steel roof truss support nodes will also automatically adjust 1 meter northward, maintaining the relative position relationship between the structure and the equipment unchanged.
[0081] Dynamically adjust the grid density of the steel roof truss connection nodes according to the pipeline bending radius threshold and the structural stress concentration coefficient to ensure the balance between model accuracy and calculation efficiency. For areas with a stress concentration coefficient greater than 2.5, the grid density is set to 10 - 15mm; for areas with a stress concentration coefficient between 1.5 - 2.5, the grid density is set to 15 - 25mm; for areas with a stress concentration coefficient less than 1.5, the grid density is set to 25 - 50mm. The pipeline bending radius threshold is determined according to the pipeline type: the minimum bending radius of the cable tray is 300mm, the minimum bending radius of the heating and ventilation pipe is 500mm, the minimum bending radius of the valve cooling water pipe is 400mm, and the minimum bending radius of the hydraulic pipeline is 450mm.
[0082] Taking the equipment installation error ≤ 3mm and the pipeline slope ≥ 0.5% as hard constraints, the optimal spatial coordinates of the pipeline and the steel roof truss are solved by the Lagrange multiplier method. The objective function of the Lagrange multiplier method is set to minimize the weighted sum of the steel consumption and the pipeline length, and the constraint conditions include structural strength requirements, equipment installation error requirements, and pipeline slope requirements. Through iterative calculation, the optimal spatial coordinate solution that meets all constraint conditions is obtained.
[0083] S300. Perform collision checking and iterative optimization of the model to ensure that there are no conflicts between the pipelines and the structure, and upload the verified 3D model to the digital management platform to achieve digital intelligent management of the converter station valve hall.
[0084] After completing the construction of the multi-disciplinary 3D model, perform collision checking to discover and resolve potential spatial conflict problems. The collision checking uses a fast collision detection method based on spatial hashing, specifically:
[0085] Voxelize the 3D model into cubic grids with a side length of 50mm, and accelerate the retrieval of collision voxel pairs through hash table indexing. During the voxelization process, the entire valve hall space is divided into several cubic grid cells with a side length of 50mm, and each model component is mapped to the corresponding grid cell according to its spatial position. The 3D coordinates are mapped to the hash table index through the hash function H(x, y, z) = (x * p1 XOR y * p2 XOR z * p3) mod n, where p1, p2, p3 are large prime numbers (usually 73856093, 19349663, 83492791), and n is the size of the hash table (usually 1.5 times the number of spatial grids).
[0086] Define two types of key collisions: structure-equipment interference, and secondary collisions: insufficient pipeline spacing. For these two types of conflict levels, prioritize handling key collisions and allow secondary collisions to exist in the manual review buffer. Key collisions refer to the spatial interference between the steel roof truss structure and the equipment, and such collisions must be completely eliminated; secondary collisions refer to the insufficient spacing between different pipelines. When the spacing is less than the specified requirement value but greater than the minimum safety spacing, it can be retained in the manual review buffer for the designer to determine whether adjustment is needed.
[0087] The objects of collision checking include: the spatial interference between pipelines and steel roof truss components; the trajectory conflicts between pipelines of different disciplines; the matching degree between the equipment installation position and the structural support points.
[0088] For the spatial interference between pipelines and steel roof structure members, check whether the minimum distance between the outer wall of the pipeline and the outer surface of the steel member is less than 50 mm; for the trajectory conflict between pipelines of different specialties, check whether the minimum distance between the outer walls of the pipelines meets the specification requirements (the minimum distance between cable trays and other pipelines is 200 mm, the minimum distance between heating and ventilation pipes and other pipelines is 300 mm, and the minimum distance between valve cooling water pipes and hydraulic pipelines is 150 mm); for the matching degree between the equipment installation position and the structural support point, check whether the deviation between the equipment installation point and the structural support point exceeds the design allowable value (usually ±10 mm).
[0089] After discovering collisions, optimize and adjust the model according to the collision type and severity. For critical collisions, eliminate the interference by adjusting the position of the steel roof structure members or the pipeline route; for minor collisions, on the premise of meeting the minimum safety distance, solve them by locally adjusting the pipeline path or adding isolation measures. After the model is adjusted, re-perform the collision check until all critical collisions are eliminated and minor collisions are controlled within an acceptable range.
[0090] Integrate the accessibility verification module for the valve hall operation and maintenance passage in the building model, and optimize the equipment maintenance space layout through three-dimensional path analysis.
[0091] Integrate the accessibility verification module for the valve hall operation and maintenance passage in the BIM model to evaluate and optimize the equipment maintenance space layout. The accessibility verification uses the A* algorithm for three-dimensional path analysis to simulate the shortest path of maintenance personnel from the entrance to each equipment maintenance point, and check whether there are areas that cannot be reached or are difficult to reach.
[0092] The path analysis considers the following factors: the channel width is not less than 1.2 meters, the channel height is not less than 2.0 meters, the turning radius is not less than 0.8 meters, and the slope is not greater than 15 degrees. For the detected inaccessible areas or areas with difficult passage, improve the accessibility by adjusting the equipment layout, adding maintenance platforms or optimizing the pipeline route.
[0093] Through three-dimensional path analysis, determine the optimal equipment maintenance space layout plan to ensure that all equipment has sufficient maintenance space and convenient maintenance channels, and improve the operation and maintenance efficiency and safety of the valve hall.
[0094] The three-dimensional model after collision inspection and optimization adjustment is uploaded to the digital management platform to realize the full-life cycle digital intelligent management of the converter station valve hall. The digital management platform supports:
[0095] Construction simulation and progress management based on 3D models. Through 4D construction simulation technology, the 3D model is combined with the construction schedule plan to visually display the construction process and progress status, assisting construction management and decision-making. The construction simulation can display the construction progress on a daily, weekly, and monthly time scale, helping project managers to promptly discover and solve problems during the construction process.
[0096] Structural force analysis and visualization of load distribution. Through the finite element analysis method, the stress distribution and deformation of the steel roof truss structure under various working conditions are calculated and visually displayed in the form of a contour map. The load working conditions include dead load, live load, wind load, seismic action, etc., and the analysis results include stress distribution, displacement distribution, internal force distribution, etc., providing a basis for structural safety assessment and optimization.
[0097] Data association throughout the life cycle of equipment. The life cycle data of equipment, such as design parameters, manufacturing information, installation records, operation data, maintenance records, etc., are associated with the BIM model to achieve integrated management of equipment information. By scanning the QR code or RFID tag on the equipment, the relevant information and historical records of the equipment can be quickly retrieved, assisting equipment management and maintenance decision-making.
[0098] Through the Kalman filter matching of the sensor data stream and the BIM model, sub-centimeter-level synchronization accuracy between the physical valve hall and the virtual model is achieved. Displacement sensors, temperature sensors, strain sensors, etc. are installed at key positions in the valve hall to collect structural and environmental data in real time. The Kalman filter algorithm is used to process the sensor data to eliminate noise and interference and improve data reliability. The processed sensor data is matched and calibrated with the BIM model to achieve high-precision synchronization between the physical valve hall and the virtual model, and the synchronization accuracy can reach 5 - 8 mm.
[0099] Based on the CNN convolutional neural network, analyze the stress contour map of the steel roof truss, automatically identify potential weak nodes, and recommend reinforcement solutions. The CNN network adopts a 5-layer structure: input layer, 3 convolutional layers, and output layer. The input is the stress contour map of the steel roof truss, and the output is the position of the weak nodes and reinforcement suggestions. The CNN network is trained with a large amount of historical case data, and the accuracy rate can reach over 90%. For the identified weak nodes, the system will automatically generate reinforcement solution suggestions, such as adding supports, thickening components, adjusting node connections, etc.
[0100] Generate a 2D construction drawing set linked to the 3D model, and the drawing set includes component location detail drawings with 3D coordinate annotations and collision inspection reports.
[0101] Based on the verified 3D model, generate a 2D construction drawing set linked to it for guiding on-site construction. The construction drawing set includes the following contents:
[0102] General layout plan, showing the location of the valve hall in the converter station and the surrounding environment;
[0103] The floor plan of the valve hall, including the floor plans of each layer, showing the layout of equipment and structures;
[0104] The elevation and sectional views, showing the vertical spatial relationship of the valve hall;
[0105] The detailed drawings of the steel roof truss structure, including the large-scale detail drawings of joints and the processing drawings of components;
[0106] The detailed drawings of the equipment foundation, including the foundation dimensions and the positions of embedded parts;
[0107] The integrated pipeline layout plan, showing the spatial relationship of pipelines in various specialties;
[0108] The detailed drawings of component positioning, with accurate three-dimensional coordinate markings, guiding on-site installation and positioning;
[0109] The collision inspection report, recording the detected collision points and the treatment plans.
[0110] The construction drawing set is linked to the three-dimensional model. When the three-dimensional model changes, the relevant two-dimensional drawings will be automatically updated to ensure the consistency between the drawings and the model. The three-dimensional coordinates in the detailed drawings of component positioning adopt two marking methods: absolute coordinates and relative coordinates. The absolute coordinates are based on the reference coordinate system of the valve hall, and the relative coordinates are based on adjacent components or axes, facilitating the understanding and use by on-site construction personnel.
[0111] Based on the above implementation plan, this embodiment can more intuitively and accurately express the spatial relationship between various types of equipment and pipelines, effectively avoiding problems such as "errors, omissions, leaks, and collisions". Through parametric modeling and collision inspection, the design efficiency is significantly improved, and the design quality is guaranteed.
[0112] As Figures 2 to 8 shown, Figures 2 to 8 They are respectively the example drawings of the overall three-dimensional model of the valve hall, the three-dimensional model of the valve hall structure, the steel roof truss model of the valve hall, the cable tray model, the heating and ventilation pipe model, the hydraulic pipeline model, and the combined models of different specialties designed based on the solution provided in this embodiment.
[0113] Embodiment Two:
[0114] This embodiment provides a steel roof truss structure design system for the valve hall of a converter station based on BIM technology, including:
[0115] The foundation design module, which determines the equipment information and pipeline information of the valve hall through multi-specialty collaboration, and establishes the benchmark for the valve hall dimensions and the positioning of equipment and pipelines; based on the plane and elevation layouts of the equipment, it generates the spatial support structure of the steel roof truss and the separation plan for the pipeline trajectory; this module is used to implement the functions of step S100 in Embodiment One, which will not be elaborated here;
[0116] The BIM model construction module is used to construct a multi - professional refined three - dimensional model on the BIM platform, and realize the spatial positioning of the steel roof truss framework and pipelines through parametric modeling; this module is used to implement the function of step S200 in the first embodiment, which will not be elaborated here;
[0117] The model verification and upload module is used to perform collision checks and iteratively optimize the three - dimensional model to ensure that there are no conflicts between pipelines and structures; upload the verified three - dimensional model to the digital management platform; this module is used to implement the function of step S300 in the first embodiment, which will not be elaborated here;
[0118] Among them, the steps of generating the spatial support structure of the steel roof truss are as follows:
[0119] The steel roof truss topology optimization algorithm based on the genetic algorithm:
[0120] Input the initial load distribution of the steel roof truss, equipment installation constraint conditions, and material cost weight factors, and iteratively generate the optimal steel roof truss topology structure through crossover, mutation, and selection operations, and output a spatial layout plan that meets the strength requirements and has the minimum steel consumption;
[0121] The collision check adopts fast collision detection based on spatial hashing. Specifically: the three - dimensional model is voxelized into a cube grid with a side length of 50 mm, and the retrieval of collision voxel pairs is accelerated through hash table indexing;
[0122] Define key collisions: structure - equipment interference, and secondary collisions: insufficient pipeline spacing. There are two conflict levels, and key collisions are preferentially processed and secondary collisions are allowed to exist in the manual review buffer area.
[0123] Embodiment 3:
[0124] This embodiment proposes an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, it implements the design method of the converter station valve hall steel roof truss structure based on BIM technology as described in any embodiment of the present invention.
[0125] Embodiment 4:
[0126] This embodiment proposes a computer - readable storage medium, on which a computer program is stored. When the program is executed by a processor, it implements the design method of the converter station valve hall steel roof truss structure based on BIM technology as described in any embodiment of the present invention.
[0127] In the embodiments of the present application, "at least one" means one or more, and "a plurality" means two or more. "And / or" describes the relationship between associated objects and indicates that three relationships can exist. For example, A and / or B can represent the cases of A existing alone, A and B existing simultaneously, and B existing alone. Here, A and B can be singular or plural. The character " / " generally represents an "or" relationship between the associated objects before and after. "At least one of the following" and its similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, and c can represent: a, b, c, a and b, a and c, b and c, or a and b and c, where a, b, and c can be single or multiple.
[0128] Those of ordinary skill in the art can realize that the various units and algorithm steps described in the embodiments disclosed herein can be implemented by a combination of electronic hardware, computer software, and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present application.
[0129] Those skilled in the art can clearly understand that for the convenience and conciseness of description, the specific working processes of the systems, devices, and units described above can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.
[0130] In several embodiments provided by the present application, if any function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present application. The foregoing storage medium includes: USB flash drives, mobile hard disks, read-only memories (ROM for short), random access memories (RAM for short), magnetic disks, or optical disks, etc., which can store program codes.
[0131] The above are only the embodiments of the present invention, and do not limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made by using the content of the specification and drawings of the present invention, or directly or indirectly applied in other related technical fields, shall be equally included in the patent protection scope of the present invention.
Claims
1. A design method for the steel roof truss structure of a converter station valve hall based on BIM technology, characterized in that, It includes the following steps: Determine the valve hall equipment information and pipeline information through multi-disciplinary collaboration, and establish the valve hall size and the positioning reference for equipment and pipelines; Based on the equipment layout in the plan and elevation views, generate the spatial support structure of the steel roof truss and the pipeline trajectory separation plan; Construct a multi-disciplinary refined 3D model on the BIM platform, and achieve the spatial positioning of the steel roof truss framework and pipelines through parametric modeling; Execute collision checking and iteratively optimize the 3D model to ensure that there are no conflicts between pipelines and structures; Upload the verified 3D model to the digital management platform; Among them, the steps for generating the spatial support structure of the steel roof truss are as follows: Steel roof truss topology optimization algorithm based on genetic algorithm: Input the initial load distribution of the steel roof truss, equipment installation constraint conditions, and material cost weight factors, and iteratively generate the optimal steel roof truss topology structure through crossover, mutation, and selection operations, and output a spatial layout plan that meets the strength requirements and has the minimum steel consumption; The collision checking adopts fast collision detection based on spatial hashing. Specifically: Voxelize the 3D model into cubic grids with a side length of 50 mm, and accelerate the retrieval of colliding voxel pairs through hash table indexing; Define key collisions: structure-equipment interference, and secondary collisions: insufficient pipeline spacing. For these two types of conflict levels, prioritize handling key collisions and allow secondary collisions to exist in the manual review buffer zone.
2. The design method of the converter station valve hall steel roof truss structure based on BIM technology according to claim 1, wherein The pipeline trajectory separation plan includes: Independent spatial trajectory planning for cable trays, heating and ventilation ducts, valve cooling water pipes, and hydraulic pipes; Generate the pipeline support foundation topology structure based on the plane layout of the steel beams.
3. The design method of the converter station valve hall steel roof truss structure based on BIM technology according to claim 1, wherein The parametric modeling specifically includes: Construct a 3D coordinate system with the reference height as the origin; Conduct geometric constraint modeling for embedded parts, hanging points, and pipeline connection nodes; Dynamically adjust the steel roof truss structure size based on the equipment layout parameters; According to the pipeline bending radius threshold and the structural stress concentration coefficient, dynamically adjust the grid density of the steel roof truss connection nodes to ensure the balance between model accuracy and calculation efficiency; Taking the equipment installation error ≤ 3 mm and the pipeline slope ≥ 0.5% as hard constraints, solve the optimal spatial coordinates of the pipelines and the steel roof truss through the Lagrange multiplier method.
4. The design method of the converter station valve hall steel roof truss structure based on the BIM technology according to claim 1, characterized in that, The objects of the collision checking include: Spatial interference between pipelines and steel roof truss members; Trajectory conflicts between pipelines of different specialties; The matching degree between the equipment installation position and the structural support points.
5. The design method of the valve hall steel roof truss structure based on BIM technology according to claim 1, characterized in that, It also includes the steps: Integrate the accessibility verification module of the valve hall operation and maintenance passage in the building model, and optimize the equipment maintenance space layout through 3D path analysis.
6. The design method of the valve hall steel roof truss structure based on BIM technology according to claim 1, characterized in that The digital management platform supports: Construction simulation and progress management based on the 3D model; Structural stress analysis and load distribution visualization; Associate the full life cycle data of equipment; Through the Kalman filter matching of the sensor data stream and the BIM model, achieve sub-centimeter-level synchronization accuracy between the physical valve hall and the virtual model; And analyze the stress nephogram of the steel roof truss based on the CNN convolutional neural network, automatically identify potential weak nodes and recommend reinforcement solutions.
7. The design method of the valve hall steel roof truss structure of the converter station based on the BIM technology according to claim 1, characterized in that It also includes the steps: Generate a 2D construction drawing set linked to the 3D model. The drawing set includes component positioning details with 3D coordinate annotations and collision checking reports.
8. A design system for the steel roof truss structure of a converter station valve hall based on BIM technology, characterized in that, It includes: The foundation design module, which determines the valve hall equipment information and pipeline information through multi-disciplinary collaboration, and establishes the valve hall size and the positioning reference for equipment and pipelines; Generate a spatial support structure for the steel roof truss and a pipeline trajectory separation plan based on the equipment plan and elevation layout; The BIM model construction module is used to construct a multi-disciplinary refined 3D model on the BIM platform, and realize the spatial positioning of the steel roof truss framework and pipelines through parametric modeling; The model verification and upload module is used to perform collision checks and iteratively optimize the 3D model to ensure that there are no conflicts between pipelines and structures; upload the verified 3D model to the digital management platform; Among them, the steps of generating the spatial support structure of the steel roof truss are as follows: Steel roof truss topology optimization algorithm based on genetic algorithm: Input the initial load distribution of the steel roof truss, equipment installation constraint conditions, and material cost weight factors, and iteratively generate the optimal steel roof truss topology structure through crossover, mutation, and selection operations, and output a spatial layout plan that meets the strength requirements and has the minimum steel consumption; The collision check adopts fast collision detection based on spatial hashing. Specifically, the 3D model is voxelized into a cube grid with a side length of 50 mm, and the retrieval of collision voxel pairs is accelerated through hash table indexing; Define key collisions: structure-equipment interference, and secondary collisions: insufficient pipeline spacing. There are two types of conflict levels. Key collisions are given priority and secondary collisions are allowed to exist in the manual review buffer area.
9. An electronic device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the converter station valve hall steel roof truss structure design method based on BIM technology according to any one of claims 1 to 7.
10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the converter station valve hall steel roof truss structure design method based on BIM technology according to any one of claims 1 to 7.
Citation Information
Patent Citations
Pipeline integrated optimization method based on BIM
CN106202831A
Cited By
Process design optimization platform and method combined with BIM (Building Information Modeling)
CN121302492A
BIM-based pipeline path optimization method in ALC wallboard prefabrication process
CN122548850A