Shielding member installation method and system based on three-dimensional digital twinning
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHINA SHIP DEV & DESIGN CENT
- Filing Date
- 2026-05-09
- Publication Date
- 2026-08-07
AI Technical Summary
[0007]本发明的目的在于提供一种基于三维数字孪生的屏蔽构件安装方法及系统,以解决现有技术中难以建立安装空间几何关系、无法求解可行安装姿态以及加工修整依赖经验的问题,从而提高屏蔽构件安装的施工效率与安装精度
本发明通过采集目标屏蔽方格的内部三维实测数据并构建与实体结构一一映射的屏蔽方格数字孪生模型,实现了对屏蔽方格实际空间形貌的连续三维表达,解决了传统人工测量无法全面表征方格内部非规则几何形态的问题;
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Figure CN122528402A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of engineering installation and digital construction technology, specifically to a method and system for installing shielding components based on three-dimensional digital twins. Background Technology
[0002] Shielding components are widely used in marine equipment, radiation protection facilities, and industrial installations, and their main materials are mostly lead or lead-based materials. These materials have high density and weight, and their dimensional processing accuracy is limited by material properties. Therefore, final fitting is usually achieved on-site through cutting, trimming, and fine-tuning. To ensure shielding continuity, the gaps between shielding components must be strictly controlled, which places high demands on installation accuracy.
[0003] During the engineering design phase, the shielding grid and its surrounding structure are typically modeled and annotated based on theoretical dimensions. However, in actual construction, due to weld shrinkage, thermal deformation, cumulative tolerances of shielding components, and structural offsets caused by long-term transportation and hoisting, the actual opening dimensions, depth, and internal flatness of the shielding grid often differ significantly from the design values. Especially within deep grids with dimensions on the order of one meter, phenomena such as weld protrusions, local warping, and frame deformation are common, resulting in a complex and irregular geometric shape in the installation space that is difficult to accurately describe through simple dimensional measurements.
[0004] Currently, on-site installation still mainly relies on manual measurement, experience-based judgment, and repeated trial installations by construction personnel. A common process involves manually using measuring tapes, feeler gauges, or laser rangefinders to perform localized measurements, and then adjusting the grinding amount and installation posture of the shielding blocks based on experience. Due to the lack of a continuous three-dimensional representation of the internal space of the grid, it is difficult to establish the overall spatial relationship between the shielding components and the installation space. The cutting amount, tilt angle, and insertion direction of the shielding blocks are often difficult to calculate accurately, requiring continuous trial installations, grinding, and further trial installations on-site. Especially in areas with weld protrusions or structural deformation, the shielding blocks are prone to jamming, chipping, insertion difficulties, or loose joints, leading to a significant increase in the construction period.
[0005] Although some construction methods have attempted to use 3D laser scanners and handheld scanners for measurement, current measurement data is mostly limited to point cloud display or offline analysis, lacking the ability to calculably represent the installation space and making it difficult to establish the spatial distance relationship between the shielding component and the actual installation space. Furthermore, existing methods typically cannot solve for the installation posture of the shielding component under collision-free constraints, lacking the ability to calculate the set of feasible installation postures and failing to define a clear range of feasible postures. In terms of processing and finishing, it still mainly relies on empirical judgment, lacking methods for quantitative analysis of local spatial deficiencies based on spatial geometric relationships, making it difficult to obtain processing and finishing parameters corresponding to actual deviations.
[0006] Therefore, how to construct a three-dimensional model that reflects the real spatial morphology based on on-site measured data, further establish the spatial distance relationship between the shielding component and the installation space, solve the feasible installation posture range of the shielding component under the condition of satisfying the collision-free constraint, and determine the processing and trimming parameters based on the spatial deviation quantification, so as to realize the calculability and guidance of the installation process, has become a key technical problem to improve the installation efficiency and accuracy of the shielding component. Summary of the Invention
[0007] The purpose of this invention is to provide a shielding component installation method and system based on three-dimensional digital twins, so as to solve the problems in the prior art that it is difficult to establish the installation space geometric relationship, cannot solve the feasible installation posture, and the processing and adjustment rely on experience, thereby improving the construction efficiency and installation accuracy of shielding components.
[0008] To address the aforementioned technical problems, this invention provides a method for installing shielding components based on three-dimensional digital twins, comprising the following steps: S1. Collect the internal three-dimensional measured data of the target shielding grid, perform noise reduction, registration and fusion processing on the three-dimensional measured data, and construct a digital twin model of the shielding grid that maps one-to-one with the physical structure of the target shielding grid. S2. Based on the shielded grid digital twin model, identify the structural deformation area and weld interference area, and extract the corresponding spatial geometric feature parameters; S3. Import the 3D model of the shielding component, complete the model registration in a unified coordinate system, and obtain the centroid parameters, feature surface parameters, and geometric boundary parameters of the shielding component. S4. Construct a spatial distance field based on the digital twin model of the shielding grid and the three-dimensional model of the shielding component. The spatial distance field is used to characterize the minimum distance distribution from each point on the surface of the shielding component to the inner wall surface of the shielding grid. S5. Based on the spatial distance field, establish an interference constraint model, and use collision-free constraints and installation path continuity constraints as restrictions to solve the spatial attitude of the shielding component, obtain the set of attitude parameters that satisfy the constraints, and determine the set of attitude parameters as the attitude feasible region. S6. Determine the insertable attitude window of the shielding component based on the attitude feasible region, and select the target installation attitude parameters from the attitude feasible region; S7. Calculate the distance residual distribution between the shielding component and the shielding grid based on the spatial distance field, determine the area where the distance residual exceeds the preset threshold as the processing and trimming area, and generate the corresponding processing and trimming parameters. S8. Generate installation guidance information based on the target installation posture parameters and processing and trimming parameters; S9. Acquire real-time attitude data during the installation of the shielding component, and perform dynamic verification with the digital twin model of the shielding grid. Based on the verification results, correct the target installation attitude parameters and / or processing and adjustment parameters.
[0009] According to the above scheme, the spatial distance field is constructed based on a point cloud model, a triangular mesh model, or a voxel model.
[0010] According to the above scheme, the structural deformation area and weld interference area are determined by at least one of the following methods: geometric deviation analysis, curvature change detection, and comparative analysis with theoretical design model.
[0011] According to the above scheme, the set of attitude parameters includes the insertion direction, rotation angle, and spatial translation amount.
[0012] According to the above scheme, the attitude feasible region is obtained by sampling and calculating or continuously optimizing the attitude space of the shielding component.
[0013] According to the above scheme, the insertable attitude window is the attitude range in the attitude feasible domain that meets the installation operation requirements.
[0014] According to the above scheme, the processing and trimming parameters include local cutting amount, chamfering amount, and gap compensation amount.
[0015] According to the above scheme, the dynamic verification is achieved by comparing the deviation between the real-time attitude data and the shielded grid digital twin model.
[0016] The present invention also provides a shielding component installation system based on three-dimensional digital twins, comprising: The data acquisition and modeling module is used to acquire the internal three-dimensional measured data of the target shielding grid, perform noise reduction, registration and fusion processing on the three-dimensional measured data, and construct a digital twin model of the shielding grid that maps one-to-one with the physical structure of the target shielding grid. The feature recognition module is used to identify the structural deformation area and weld interference area based on the shielded grid digital twin model, and extract the corresponding spatial geometric feature parameters. The model preprocessing module is used to import the three-dimensional model of the shielding component, complete the model registration in a unified coordinate system, and obtain the centroid parameters, feature surface parameters and geometric boundary parameters of the shielding component. The spatial distance field construction module is used to construct a spatial distance field based on the digital twin model of the shielding grid and the three-dimensional model of the shielding component. The spatial distance field is used to characterize the minimum distance distribution from each point on the surface of the shielding component to the inner wall surface of the shielding grid. The constraint modeling and solution module is used to establish an interference constraint model based on the spatial distance field, and solve the spatial attitude of the shielding component with the constraints of no collision and installation path continuity. The set of attitude parameters that meet the constraints is obtained, and the set of attitude parameters is determined as the attitude feasible region. The target installation attitude calculation module is used to determine the insertable attitude window of the shielding component based on the attitude feasible region, and select the target installation attitude parameters from the attitude feasible region. The trimming parameter calculation module is used to calculate the distance residual distribution between the shielding component and the shielding grid based on the spatial distance field, determine the area where the distance residual exceeds a preset threshold as the processing and trimming area, and generate the corresponding processing and trimming parameters. The installation guidance generation module is used to generate installation guidance information based on the target installation posture parameters and processing and trimming parameters. The dynamic verification module is used to acquire real-time attitude data during the installation of the shielding component and perform dynamic verification with the digital twin model of the shielding grid. Based on the verification results, the target installation attitude parameters and / or processing and adjustment parameters are corrected.
[0017] According to the above scheme, the spatial distance field construction module is implemented based on point cloud data, grid data, or voxel data; the dynamic verification is achieved by comparing the deviation between real-time attitude data and the shielded grid digital twin model.
[0018] Beneficial effects This invention achieves a continuous three-dimensional representation of the actual spatial morphology of the shielding square by collecting internal three-dimensional measured data of the target shielding square and constructing a digital twin model of the shielding square that maps one-to-one with the physical structure. This solves the problem that traditional manual measurement cannot fully characterize the irregular geometric shape inside the square. Based on the digital twin model, a spatial distance field between the shielding component and the shielding grid is constructed, and the installation attitude is solved under the condition of no collision constraint. The feasible domain of the shielding component's attitude and the insertable attitude window are obtained, so that the installation feasibility prediction and interference risk identification can be completed in the digital space. Compared with the traditional method that relies on experience judgment, the accuracy of installation decision is significantly improved. Furthermore, by calculating the distance residual of the spatial distance field, the local space deficiency area between the shielding component and the actual installation space can be quantified, and corresponding processing and trimming parameters can be generated accordingly. This transforms the processing and trimming from experience-based judgment to quantitative calculation based on spatial geometric relationships, reducing the repeated trial assembly and grinding process. The installation guidance information generated based on the posture parameters and processing and trimming parameters can be directly used to guide on-site construction, effectively reducing the probability of problems such as component jamming, chipping, difficulty in insertion and loose joints, thereby shortening the construction cycle and improving installation consistency. Meanwhile, through dynamic verification and parameter correction mechanisms during the installation process, closed-loop control of the installation process is achieved. When actual construction conditions change, the installation posture and parameters can be adjusted in a timely manner to ensure that the final assembly accuracy meets the design requirements, thereby improving the stability of the installation quality of the shielding components and reducing the reliance on manual experience. Attached Figure Description
[0019] Figure 1 This is a flowchart of a method for installing a shielding component based on a three-dimensional digital twin according to an embodiment of the present invention; Figure 2 This is a schematic diagram of a typical shielding installation grid structure according to an embodiment of the present invention. Detailed Implementation
[0020] This embodiment takes the shielding installation area in the equipment compartment of a ship as the implementation object.
[0021] The target shielding grid is designed to measure 1000mm × 1000mm × 800mm, and the shielding components are lead-based shielding modules. Before on-site installation, it was found that due to factors such as welding shrinkage, structural stress release, and transportation and hoisting, the target shielding grid exhibited varying degrees of local deformation and weld protrusions. Traditional manual measurement methods were insufficient to accurately determine whether the shielding components could be successfully inserted.
[0022] Step 1: Acquisition of 3D Data from Shielded Grids and Construction of Digital Twin Model A handheld 3D scanning device was used to scan the interior of the target shielding grid, obtaining point cloud data of the inner wall, frame, and weld areas of the shielding grid. Approximately 3.2 million point cloud data points were obtained after scanning. The point cloud data underwent noise reduction, point cloud registration, coordinate unification, and point cloud fusion to generate a 3D digital twin model of the target shielding grid.
[0023] Measurements and analysis revealed the following: the maximum deviation of the grid opening size was +6.2 mm, the minimum local deviation was -4.1 mm, the maximum weld protrusion height was approximately 7.8 mm, and the local flatness error of the inner wall was approximately 5.3 mm. These results indicate that significant irregular spatial deformation exists within the target shielding grid.
[0024] Step 2: Identification of weld seams and structural deformation areas Based on a digital twin model, geometric analysis was performed on the interior of the shielding grid. Through curvature change detection and comparison with the theoretical model, three weld interference areas and two local deformation areas of the frame were identified. The maximum weld interference width was approximately 18 mm, and the maximum structural indentation was approximately 6 mm. The system further generated a spatial distribution model of the welds and deformation areas for subsequent installation analysis.
[0025] Step 3: Importing the shielding component model and preprocessing its attitude The 3D model of the shielding component was imported into the system and unified coordinate registration was completed. The shielding component underwent attitude preprocessing, including: center of gravity calculation, feature surface identification, and geometric boundary dimension extraction. The shielding component weighs approximately 185 kg; its maximum boundary dimension is approximately 998 mm.
[0026] Step 4: Spatial Distance Analysis and Interference Calculation A spatial distance field was constructed based on a digital twin model of the shielded grid and a model of the shielding component. The insertion process of the shielding component was analyzed, including gap analysis, collision detection, and insertion feasibility analysis. The analysis results show that, under the initial design orientation, there is a continuous interference region between the shielding component and the inside of the grid. Specifically, the maximum interference is approximately 7.1 mm, and the minimum installation gap is less than 1 mm. The system identified the bottom weld area and the side local deformation area as the main installation interference locations.
[0027] Step 5: Solving the installation attitude and generating trimming parameters The system solves for the installation attitude of the shielding component under collision-free constraints. The results are as follows: optimal insertion tilt angle is approximately 2.6°, rotation angle around the Z-axis is approximately 1.4°, X-direction translation correction is approximately +3mm, and Y-direction translation correction is approximately -2mm. Simultaneously, an insertion attitude window is generated: the allowable fluctuation range for the tilt angle is ±1.1°, and the allowable fluctuation range for the rotation angle is ±0.8°. Subsequently, based on distance residual analysis, machining trimming parameters are generated: maximum local cutting amount is approximately 6mm, recommended chamfer size is 3mm × 45°, and local compensation gap is approximately 2mm.
[0028] Step Six: On-site Installation Guidance The system generates installation guidance information, including: insertion direction; insertion angle; hoisting posture; interference area warning; and adjustment area prompts. Construction personnel then perform hoisting and installation according to the guidance.
[0029] Step 7: Dynamic Verification and Installation Validation During the insertion of the shielding component, key positions were measured in real time and dynamically compared with the digital twin model. Based on the verification results, the insertion posture was fine-tuned. The final installation results are as follows: the shielding component was successfully inserted on the first attempt, with no jamming or chipping; the installation time was reduced from approximately 2 hours to approximately 45 minutes; the number of trial installations was reduced from more than 4 to 1; and the final joint gap was controlled within 1.5 mm.
[0030] The verification results show that the present invention can effectively improve the installation accuracy and construction efficiency of shielding components, and reduce the dependence on manual experience in on-site construction.
[0031] It should be noted that, depending on the implementation needs, the various steps / components described in this application can be broken down into more steps / components, or two or more steps / components or parts of the operation of steps / components can be combined into new steps / components to achieve the purpose of this invention.
[0032] Those skilled in the art will readily understand that the above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.
Claims
1. A method for installing shielding components based on three-dimensional digital twins, characterized in that, include: S1. Collect the internal three-dimensional measured data of the target shielding grid, perform noise reduction, registration and fusion processing on the three-dimensional measured data, and construct a digital twin model of the shielding grid that maps one-to-one with the physical structure of the target shielding grid. S2. Based on the shielded grid digital twin model, identify the structural deformation area and weld interference area, and extract the corresponding spatial geometric feature parameters; S3. Import the 3D model of the shielding component, complete the model registration in a unified coordinate system, and obtain the centroid parameters, feature surface parameters, and geometric boundary parameters of the shielding component. S4. Construct a spatial distance field based on the digital twin model of the shielding grid and the three-dimensional model of the shielding component. The spatial distance field is used to characterize the minimum distance distribution from each point on the surface of the shielding component to the inner wall surface of the shielding grid. S5. Based on the spatial distance field, establish an interference constraint model, and use collision-free constraints and installation path continuity constraints as restrictions to solve the spatial attitude of the shielding component, obtain the set of attitude parameters that satisfy the constraints, and determine the set of attitude parameters as the attitude feasible region. S6. Determine the insertable attitude window of the shielding component based on the attitude feasible region, and select the target installation attitude parameters from the attitude feasible region; S7. Calculate the distance residual distribution between the shielding component and the shielding grid based on the spatial distance field, determine the area where the distance residual exceeds the preset threshold as the processing and trimming area, and generate the corresponding processing and trimming parameters. S8. Generate installation guidance information based on the target installation posture parameters and processing and trimming parameters; S9. Acquire real-time attitude data during the installation of the shielding component, and perform dynamic verification with the digital twin model of the shielding grid. Based on the verification results, correct the target installation attitude parameters and / or processing and adjustment parameters.
2. The method for installing shielding components based on three-dimensional digital twins according to claim 1, characterized in that, The spatial distance field is constructed based on a point cloud model, a triangular mesh model, or a voxel model.
3. The method for installing shielding components based on three-dimensional digital twins according to claim 1, characterized in that, The structural deformation region and weld interference region are determined by at least one of the following methods: geometric deviation analysis, curvature change detection, and comparative analysis with theoretical design models.
4. The method for installing shielding components based on three-dimensional digital twins according to claim 1, characterized in that, The set of attitude parameters includes the insertion direction, rotation angle, and spatial translation.
5. The method for installing shielding components based on three-dimensional digital twins according to claim 1, characterized in that, The attitude feasible region is obtained by sampling and calculating or continuously optimizing the attitude space of the shielding component.
6. The method for installing shielding components based on three-dimensional digital twins according to claim 1, characterized in that, The insertable attitude window is the attitude range within the attitude feasible domain that meets the installation operation requirements.
7. The method for installing shielding components based on three-dimensional digital twins according to claim 1, characterized in that, The processing and finishing parameters include local cutting amount, chamfering amount, and gap compensation amount.
8. The method for installing shielding components based on three-dimensional digital twins according to claim 1, characterized in that, The dynamic verification is achieved by comparing the deviation between real-time attitude data and the shielded grid digital twin model.
9. A shielding component installation system based on three-dimensional digital twin, characterized in that, include: The data acquisition and modeling module is used to acquire the internal three-dimensional measured data of the target shielding grid, perform noise reduction, registration and fusion processing on the three-dimensional measured data, and construct a digital twin model of the shielding grid that maps one-to-one with the physical structure of the target shielding grid. The feature recognition module is used to identify the structural deformation area and weld interference area based on the shielded grid digital twin model, and extract the corresponding spatial geometric feature parameters. The model preprocessing module is used to import the three-dimensional model of the shielding component, complete the model registration in a unified coordinate system, and obtain the centroid parameters, feature surface parameters and geometric boundary parameters of the shielding component. The spatial distance field construction module is used to construct a spatial distance field based on the digital twin model of the shielding grid and the three-dimensional model of the shielding component. The spatial distance field is used to characterize the minimum distance distribution from each point on the surface of the shielding component to the inner wall surface of the shielding grid. The constraint modeling and solution module is used to establish an interference constraint model based on the spatial distance field, and solve the spatial attitude of the shielding component with the constraints of no collision and installation path continuity. The set of attitude parameters that meet the constraints is obtained, and the set of attitude parameters is determined as the attitude feasible region. The target installation attitude calculation module is used to determine the insertable attitude window of the shielding component based on the attitude feasible region, and select the target installation attitude parameters from the attitude feasible region. The trimming parameter calculation module is used to calculate the distance residual distribution between the shielding component and the shielding grid based on the spatial distance field, determine the area where the distance residual exceeds a preset threshold as the processing and trimming area, and generate the corresponding processing and trimming parameters. The installation guidance generation module is used to generate installation guidance information based on the target installation posture parameters and processing and trimming parameters. The dynamic verification module is used to acquire real-time attitude data during the installation of the shielding component and perform dynamic verification with the digital twin model of the shielding grid. Based on the verification results, the target installation attitude parameters and / or processing and adjustment parameters are corrected.
10. The shielding component installation system based on three-dimensional digital twin according to claim 9, characterized in that, The spatial distance field construction module is implemented based on point cloud data, grid data, or voxel data; the dynamic verification is achieved by comparing the deviation between real-time attitude data and the shielded grid digital twin model.