Ship body segment manufacturing method, device and terminal for adding reverse deformation of tire frame

Abstract

The application discloses a kind of ship body section manufacturing method, device and terminal of adding mould bed reverse deformation, belong to computer aided design technical field, comprising: obtaining mother ship section three-dimensional point cloud original data and mould bed basic design data;Based on mother ship section three-dimensional point cloud original data, determine the pure welding shrinkage basic data set of mother ship section, and the pure welding shrinkage basic data set of mother ship section at least includes: basic identification information, core shrinkage data, auxiliary analysis data, quality check data;Based on mould bed basic design data and the pure welding shrinkage basic data set of mother ship section, determine the pre-correction mould bed three-dimensional model;Based on pre-correction mould bed three-dimensional model, determine the final data set of accurate shrinkage value;In response to the final data set of accurate shrinkage value, generate control instruction set.The application solves the problem that in existing ship section manufacturing, traditional mould bed reverse deformation method relies on experience to estimate shrinkage value, resulting in low compensation accuracy.

Description

Technical Field

[0001] This invention discloses a method, apparatus and terminal for manufacturing ship hull sections with added anti-deformation jigs, belonging to the field of computer-aided design technology. Background Technology

[0002] Shipbuilding often employs a segmented manufacturing process. During the assembly and welding of segments on the jig, deformation can easily occur due to welding heat shrinkage. This leads to a decrease in dimensional accuracy after the segments are removed from the jig, increased difficulty in assembling the ship on the slipway, and even economic losses due to the scrapping of segments. Existing methods for counter-deformation and expansion of jigs mostly rely on experience to estimate the transverse welding shrinkage value and achieve counter-expansion by rotating the rib line. Not only does the counter-deformation effect deviate significantly from the actual welding shrinkage, but it also causes the upper opening of the segment to be lowered, the centerline of the deck and platform plate to be bent, and the longitudinal wall structure to tilt outward, further increasing the difficulty of assembly and construction. Summary of the Invention

[0003] To address the shortcomings of existing technologies, this invention proposes a method, apparatus, and terminal for manufacturing ship hull sections using a prestressed frame to counteract deformation. This solves the problem of low compensation accuracy caused by the reliance on empirical estimation of shrinkage values ​​in traditional prestressed frame anti-deformation methods during existing ship section manufacturing. It enables accurate acquisition and calculation of welding shrinkage data, achieving precise correction and manufacturing of the prestressed frame, and ensuring that the dimensional accuracy of the sections after welding meets the requirements.

[0004] The technical solution of the present invention is as follows:

[0005] According to a first aspect of the present invention, a method for manufacturing ship hull sections using a precast jig for deformation reduction is provided, comprising: acquiring original three-dimensional point cloud data of a parent ship section and basic design data of the jig; determining a basic dataset of pure welding shrinkage of the parent ship section based on the original three-dimensional point cloud data of the parent ship section, wherein the basic dataset of pure welding shrinkage of the parent ship section includes at least: basic identification information, core shrinkage data, auxiliary analysis data, and quality verification data; determining a pre-corrected three-dimensional model of the jig based on the basic design data of the jig and the basic dataset of pure welding shrinkage of the parent ship section; determining a final dataset of precise shrinkage values ​​based on the pre-corrected three-dimensional model of the jig; and generating a control instruction set in response to the final dataset of precise shrinkage values, wherein the control instruction set controls a target device to execute a target manufacturing instruction to obtain a target jig, wherein the target jig is used for manufacturing the target hull of the parent ship corresponding to the section;

[0006] The process of determining the final dataset of precise shrinkage values ​​based on the pre-corrected three-dimensional model of the tire frame includes: determining the alignment visualization based on the pre-corrected three-dimensional model of the tire frame and basic identification information; determining the initial shrinkage value calculation results based on the alignment visualization and core shrinkage data; and determining the final dataset of precise shrinkage values ​​based on the initial shrinkage value calculation results, quality verification data, and auxiliary analysis data.

[0007] In response to the final dataset of precise shrinkage values, a set of control instructions is generated. This includes generating a full-process dataset, which includes simulation results, inspection reports, application records of the basic dataset of pure welding shrinkage of the parent ship section, and optimization traces.

[0008] Furthermore, based on the original 3D point cloud data of the parent ship sections, the basic dataset of pure welding shrinkage of the parent ship sections is determined, including: determining the initial deviation value of the parent ship based on the original 3D point cloud data of the parent ship sections and the original 3D design model of the parent ship sections; determining the non-welding deformation elimination dataset based on the initial deviation value of the parent ship; and determining the basic dataset of pure welding shrinkage of the parent ship sections based on the non-welding deformation elimination dataset.

[0009] Furthermore, based on the jig basic design data and the parent ship section pure welding shrinkage basic dataset, a pre-corrected jig 3D model is determined, including: determining the jig structural basic parameters based on the jig basic design data and basic identification information; determining the jig process matching parameters based on core shrinkage data and auxiliary analysis data; determining the jig basic design dataset based on the jig structural basic parameters and jig process matching parameters; and determining the pre-corrected jig 3D model based on the jig basic design dataset.

[0010] Furthermore, based on the jig basic design dataset, a pre-corrected jig 3D model is determined, including: determining the initial 3D model of the jig based on the jig basic design dataset and basic identification information; determining the jig simulation analysis model based on the initial 3D model of the jig and quality verification data; determining the jig manufacturing deformation prediction dataset based on the jig simulation analysis model and auxiliary analysis data; and determining the pre-corrected jig 3D model based on the jig manufacturing deformation prediction dataset, core shrinkage data, and auxiliary analysis data.

[0011] According to a second aspect of the present invention, a hull section manufacturing apparatus for adding a pre-formed jig to reverse deformation is provided, comprising: a data acquisition module for acquiring original three-dimensional point cloud data of a parent ship section and basic design data of the jig; a shrinkage determination module for determining a basic dataset of pure welding shrinkage of the parent ship section based on the original three-dimensional point cloud data of the parent ship section, wherein the basic dataset of pure welding shrinkage of the parent ship section includes at least: basic identification information, core shrinkage data, auxiliary analysis data, and quality verification data; a jig correction module for determining a pre-corrected jig three-dimensional model based on the jig basic design data and the basic dataset of pure welding shrinkage of the parent ship section; a precision shrinkage module for determining a final dataset of precision shrinkage values ​​based on the pre-corrected jig three-dimensional model; and an instruction generation module for generating a control instruction set in response to the final dataset of precision shrinkage values, wherein the control instruction set controls a target device to execute a target manufacturing instruction to obtain a target jig, and the target jig is used for manufacturing the target hull corresponding to the parent ship section;

[0012] Specifically, based on the pre-corrected three-dimensional model of the tire frame, the final dataset of accurate shrinkage values ​​is determined, including: determining the alignment visualization based on the pre-corrected three-dimensional model of the tire frame and basic identification information; determining the initial shrinkage value calculation results based on the alignment visualization and core shrinkage data; and determining the final dataset of accurate shrinkage values ​​based on the initial shrinkage value calculation results, quality verification data, and auxiliary analysis data.

[0013] Furthermore, in response to the final dataset of precise shrinkage values, a set of control instructions is generated, followed by the generation of a full-process dataset, which includes simulation results, inspection reports, application records of the basic dataset of pure welding shrinkage of the parent ship section, and optimization traces.

[0014] According to a third aspect of the present invention, a terminal is provided, comprising:

[0015] One or more processors;

[0016] Memory for storing the one or more processor-executable instructions;

[0017] Wherein, the one or more processors are configured as follows:

[0018] Perform the method described in the first aspect of the embodiments of the present invention.

[0019] According to a fourth aspect of the present invention, a non-transitory computer-readable storage medium is provided, wherein when instructions in the storage medium are executed by a processor of a terminal, the terminal is enabled to perform the method described in the first aspect of the present invention.

[0020] According to a fifth aspect of the present invention, an application product is provided that, when the application product is running on a terminal, causes the terminal to execute the method described in the first aspect of the present invention.

[0021] The beneficial effects of this invention are as follows:

[0022] This invention provides a method, apparatus, and terminal for manufacturing ship hull sections using a pre-fitting jig to counteract deformation. By acquiring the original three-dimensional point cloud data of the parent ship section and deriving a pure welding shrinkage basic dataset including basic identifiers, core shrinkage, auxiliary analysis, and quality verification data, and combining it with jig basic design data to determine a pre-corrected jig three-dimensional model, and then controlling the target equipment to manufacture the target jig after precise shrinkage value optimization, the invention effectively counteracts welding shrinkage deformation during the section assembly and welding process, ensuring the flatness of the section top and the unchanged relative positions of the deck, platform, and longitudinal bulkheads, reducing the difficulty of assembly and construction, significantly improving the section manufacturing accuracy and slipway assembly efficiency, and reducing economic losses caused by rework and scrap.

[0023] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit the invention. Attached Figure Description

[0024] Figure 1 This is a flowchart illustrating a method for manufacturing hull sections with anti-deformation by adding a jig according to an exemplary embodiment.

[0025] Figure 2 This is a schematic block diagram of a hull section manufacturing apparatus for adding a jig to reverse deformation, according to an exemplary embodiment.

[0026] Figure 3 This is a schematic block diagram of a terminal structure according to an exemplary embodiment. Detailed Implementation

[0027] The technical solution of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. 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.

[0028] In the description of this invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0029] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0030] This invention provides a method for manufacturing ship hull sections by adding a mold to prevent deformation. This method is implemented by a terminal, which can be a desktop computer or a laptop computer, etc., and the terminal includes at least a CPU.

[0031] Example 1: Figure 1 This is a flowchart illustrating a method for manufacturing hull sections with anti-deformation using a mounting frame, according to an exemplary embodiment. The method is used in a terminal and includes the following steps:

[0032] Step 101: Obtain the original 3D point cloud data of the parent ship sections and the basic design data of the jig. The specific details are as follows:

[0033] In step 101, when acquiring the original 3D point cloud data of the parent ship sections, the acquisition range of key structures such as outer plating, decks, and frame nodes is first determined. At least three permanent reference points are marked on the rigid, unworn parts of the sections, and their coordinates in the ship's standard coordinate system are recorded. The ambient temperature is controlled at 20±5℃ and the humidity at 40%-60%. A laser 3D scanner with an accuracy ≥±0.1mm / m is selected, and the equipment is calibrated and set to acquire a set of data every 10cm. The scanning path is planned according to the principles of left to right, top to bottom, and outside to inside, focusing on covering seams and areas with dense nodes.

[0034] Then, a comprehensive scan is performed along the planned path, with real-time monitoring of data quality. Obstructed areas are re-scanned, and surface rust, debris, and other interfering objects are removed. Each scanned area is individually numbered and recorded. The raw data is imported into specialized software, isolated interference points are removed, and a downsampling algorithm is used to reduce the data volume. Multi-view data is stitched together and aligned according to the reference point correspondence, with the stitching error controlled within ±0.3mm. A quality report is generated, the integrity of data in key areas is verified, and the raw 3D point cloud data is output after confirmation of accuracy.

[0035] Then, considering the structural characteristics of the parent ship sections and the requirements for welding shrinkage compensation, the core data types to be collected, including structure, materials, processes, and precision, were determined. Regarding structural parameters, the arrangement of the jig components was determined according to the section dimensions and weight, with a support point density of ≥6 / ㎡ in high-shrinkage areas and ≥4 / ㎡ in medium-low shrinkage areas, and the curvature of the bonding plate matching the section outer plate. In an exemplary embodiment, Chief Engineer Huang selected Q235 steel for material parameters, clarifying its elastic modulus, coefficient of thermal expansion, and other characteristics. Process parameters were determined, including plasma cutting speed, CO2 gas shielded welding current and voltage, and assembly sequence. Precision requirements were set at a bonding surface accuracy of ±0.5mm and an overall dimensional error of ≤±0.2mm. All parameters were integrated into a unified dataset, and compliance was verified against shipbuilding standards to ensure data adaptability to section shrinkage compensation and jig manufacturing requirements, ultimately outputting jig foundation design data.

[0036] Step 102: Based on the original 3D point cloud data of the parent ship sections, determine the basic dataset for pure welding shrinkage of the parent ship sections. The specific content is as follows:

[0037] In step 102, the basic dataset for pure welding shrinkage of the parent ship section includes at least: basic identification information, core shrinkage data, auxiliary analysis data, and quality verification data. First, the initial deviation value of the parent ship is determined. The original 3D point cloud data of the parent ship section and the original 3D design model of the parent ship section are imported into professional comparison software. Millimeter-level alignment is performed using rib centerlines, outer plate joints, and deck edges as key benchmarks, with the alignment error controlled within ±0.3mm. The software automatically calculates the difference between the design dimensions and the point cloud entity dimensions of each corresponding part, generating the initial deviation value of the parent ship, which includes the magnitude and distribution range of the deviation and the corresponding structural parts.

[0038] Next, the non-welding deformation elimination dataset was determined. Combining the service records of the parent ship and the ship's structural mechanics analysis, non-welding deformation factors in the initial deviation values ​​were identified. Invalid deviations such as sea wear, collision damage, and stress deformation caused by longitudinal bending were eliminated, and only valid deviations caused by the welding thermal process were retained. This was then compiled into a non-welding deformation elimination dataset, clarifying the structural location and numerical range of the valid deviations.

[0039] Finally, a basic dataset for pure weld shrinkage of the parent ship sections was determined. Based on the dataset excluding non-welding deformation, the final difference between the design dimensions and the actual dimensions of each part was calculated to obtain the lateral and longitudinal shrinkage amounts. Basic identification information was supplemented, including structural type labels, 3D coordinate positions, and reference correlation information; core shrinkage data was extracted to clarify the accuracy and direction of shrinkage; auxiliary analysis data was derived, dividing high, medium, and low shrinkage zones, generating a shrinkage distribution heatmap, and summarizing structural correlation shrinkage patterns; quality verification data was improved, statistically analyzing the percentage of valid data, the range of labeling errors, and the reasons for outlier removal, ultimately integrating these elements to form a complete basic dataset for pure weld shrinkage of the parent ship sections.

[0040] Step 103: Based on the jig foundation design data and the parent ship section pure welding shrinkage foundation dataset, determine the pre-corrected jig 3D model. The specific details are as follows:

[0041] In step 103, combining the basic design requirements of the jig with the pure welding shrinkage law of the parent ship, a pre-corrected jig three-dimensional model adapted to welding shrinkage compensation is formed through parameter matching, model building, simulation prediction and precise correction, providing a precise design basis for subsequent jig manufacturing.

[0042] 1. Determine the basic parameters of the jig structure; using the jig foundation design data as a blueprint, and combining the foundation identification information concentrated in the pure welding shrinkage foundation data of the parent ship section, clarify the core structural configuration of the jig. Based on the structural type label and three-dimensional coordinate position marked in the foundation identification information, match the arrangement of the corresponding support parts of the jig, and determine key parameters such as beam spacing, support column density, and outer plate bonding plate curvature to ensure that the jig structure accurately corresponds to the key shrinkage parts of the parent ship section, and that the support point density in high shrinkage areas is adapted to the stress requirements of the section structure.

[0043] 2. Determine the matching parameters for the jig process; based on the core shrinkage data and auxiliary analysis data in the basic dataset of pure welding shrinkage of the parent ship sections, formulate jig process parameters adapted to welding shrinkage compensation. Referring to the transverse shrinkage, longitudinal shrinkage, and shrinkage direction in the core shrinkage data, clarify the core direction of jig size compensation; combined with the high, medium, and low shrinkage zones and structural correlation shrinkage patterns divided by the auxiliary analysis data, determine the precision standards for the cutting process, the heat input parameters for the welding process, and the sequence of the assembly process to ensure that the process parameters can offset the shrinkage deformation during the section welding process.

[0044] 3. Determine the jig foundation design dataset; integrate the determined jig structural foundation parameters and jig process matching parameters to form a complete jig foundation design dataset. This dataset covers the core contents such as the size specifications, material selection, connection method, and process requirements of each component of the jig, and also links to the key information of the pure welding shrinkage basic dataset of the parent ship section, ensuring that the data chain is complete and adaptable to the needs of subsequent model construction and simulation analysis.

[0045] 4. Determine the initial 3D model of the jig; based on the jig basic design dataset and the basic identification information in the pure welding shrinkage basic dataset of the parent ship section, construct the initial 3D model of the jig using professional CAD software. Calibrate the model coordinate system according to the 3D coordinate positions in the basic identification information to ensure precise alignment of the key support points of the jig with the shrinkage parts of the parent ship section; match the structural form of each component of the jig with the structural type label, ensure the curvature of the outer plate bonding plate strictly matches the shape of the section outer plate, and maintain the relative positional stability of the supporting structures corresponding to the deck and longitudinal bulkheads, controlling the model dimensional accuracy within ±0.2mm.

[0046] 5. Determine the jig simulation analysis model; import the initial 3D jig model into CAE simulation software, and optimize the model by combining the quality verification data in the basic dataset of pure welding shrinkage of the parent ship sections. Referencing the effective data ratio and error range in the quality verification data, select reliable input parameters; divide the model mesh according to the data reliability level, using fine mesh for key parts of the jig corresponding to high shrinkage areas and coarse mesh for secondary parts, ensuring that the mesh quality meets the simulation accuracy requirements. Simultaneously, complete the material property definition and boundary condition initialization to form the jig simulation analysis model.

[0047] 6. Determine the deformation prediction dataset for jig manufacturing; based on the jig simulation analysis model and combined with auxiliary analysis data from the basic dataset of pure welding shrinkage of the parent ship sections, conduct thermo-structural coupling simulation. Simulate the entire process of the jig from material cutting and component assembly to welding formation. Referencing the structural correlation shrinkage laws in the auxiliary analysis data, accurately apply boundary conditions such as welding heat load and cutting heat effect. After the simulation, extract data such as deformation amount, deformation direction, and residual stress distribution of each component, and compile them into a jig manufacturing deformation prediction dataset to clarify the possible shrinkage, bending, and other deformations that may occur during the jig manufacturing process.

[0048] 7. Determine the pre-corrected jig 3D model; Integrate the core shrinkage data and auxiliary analysis data from the jig manufacturing deformation prediction dataset and the parent ship section pure welding shrinkage basic dataset to accurately correct the initial jig 3D model. Based on the lateral shrinkage amount in the core shrinkage data, determine the jig's lateral dimension compensation amount. Combined with the high shrinkage area annotations in the auxiliary analysis data, increase the compensation ratio for the jig parts corresponding to the high shrinkage areas. Referring to the deformation amount in the jig manufacturing deformation prediction dataset, inversely superimpose compensation for shrinkage and bending deformation during jig manufacturing, while maintaining the relative positions of the deck, platform, and longitudinal bulkheads. After correction, perform interference checks and dimensional verification to ensure no component collisions and that the accuracy of key parts is ≤±0.3mm, ultimately forming the pre-corrected jig 3D model.

[0049] Step 104: Based on the pre-corrected 3D model of the tire frame, determine the final dataset of precise shrinkage values. The specific details are as follows:

[0050] In step 104, through precise model alignment, initial value calculation, and multi-dimensional data optimization, more accurate and reliable shrinkage value data is obtained, providing core parameter support for subsequent frame number control manufacturing.

[0051] 1. Establish an alignment visualization; import the pre-corrected jig 3D model and the parent ship section solid calibration model derived from the parent ship section pure weld shrinkage basic dataset into a professional digital comparison platform such as AVEVAE3D. Using the basic identification information in the parent ship section pure weld shrinkage basic dataset as anchor points, the platform automatically matches key features of the two models according to structural type labels, including rib positioning points, outer plate mating surfaces, and deck support points. The platform's intelligent alignment function achieves millimeter-level precision alignment, with alignment errors controlled within ±0.2mm. An alignment visualization is generated, clearly showing the feature matching status, coordinate overlap, and local deviation distribution of the two models. An alignment error report is also output, clearly indicating the deviation values ​​of each matched feature, providing an intuitive positioning basis for subsequent shrinkage value calculations.

[0052] 2. Determine the initial shrinkage value calculation results; based on the model matching relationship presented by the alignment visualization diagram, the dimensional differences between corresponding parts of the pre-corrected jig 3D model and the parent ship section solid calibration model are automatically calculated using a digital comparison platform. The core shrinkage data from the parent ship section pure welding shrinkage basic dataset is called to cross-validate the calculated dimensional differences, ensuring that the differences are logically consistent with the lateral shrinkage, longitudinal shrinkage, and shrinkage direction in the core shrinkage data. Referring to the accuracy standards of the core shrinkage data, outliers exceeding three times the standard deviation are removed to avoid interference from non-welding factors. The initial shrinkage value calculation results are compiled, including the shrinkage amount, deviation distribution range, corresponding structural labels, and coordinate positions of each part. An error distribution histogram is also generated to visually display the dispersion of the initial shrinkage value.

[0053] 3. Determine the final dataset for precise shrinkage values; access the historical database of ship section shrinkage values, combine it with the initial shrinkage value calculation results, and launch a random forest machine learning model for optimization. Referencing the quality verification data in the basic dataset of pure welding shrinkage of the parent ship sections, prioritize using first-level precision data and data with an effective proportion ≥95% to train the model, improving the reliability of the optimization results. Based on the high-shrinkage area annotations in the auxiliary analysis data, assign higher optimization weights to the shrinkage values ​​corresponding to high-shrinkage areas, and adjust values ​​with large deviations based on structural correlation shrinkage patterns to ensure that the optimization results closely match the actual shrinkage characteristics of the sections. After optimization, output the final dataset of precise shrinkage values, including the three-dimensional coordinate position of each part, shrinkage amount (accuracy ±0.1mm), shrinkage direction, confidence level (≥95%), and optimization instructions, clearly defining the derivation basis and adjustment logic for each shrinkage value, ensuring that the dataset is traceable and verifiable.

[0054] Step 105: In response to the final dataset of precise shrinkage values, a control instruction set is generated. The control instruction set controls the target equipment to execute the target manufacturing instructions to obtain the target jig. The target jig is used for the segmented manufacturing of the target hull corresponding to the parent ship. The specific content is as follows:

[0055] In step 105, based on the final dataset of accurate shrinkage values, and combined with the structural parameters and process requirements of the pre-corrected 3D model of the jig, a control instruction set adapted to the target equipment is generated. The instruction set comprises three core modules: CNC machining code, process parameter instructions, and detection trigger instructions. The CNC machining code, based on the 3D coordinates, shrinkage amount, and pre-corrected model dimensions of the dataset, clarifies the cutting path, welding trajectory, and component assembly sequence of the CNC equipment, and marks the corresponding parts of high-shrinkage areas with finishing instructions. The process parameter instructions integrate the shrinkage direction and confidence information of the dataset, setting the cutting speed of the CNC plasma cutter and the current, voltage, and heat input of the robotic welding workstation to ensure that the processing process meets the shrinkage compensation requirements. The detection trigger instructions preset the detection nodes of key parts, clarify the real-time acquisition coordinates and deviation thresholds of the laser tracker, and provide a basis for dynamic adjustments during the manufacturing process. The entire control instruction set must ensure standardized format, accurate parameters, and direct recognition and execution by the target equipment.

[0056] The control instruction set is imported into target equipment such as a CNC plasma cutter, robotic welding workstation, and laser tracker to initiate the jig manufacturing process. The CNC equipment performs steel cutting, component welding, and assembly according to the path planned in the instruction set. The laser tracker collects real-time 3D coordinate data of key parts and compares it in real-time with the final dataset of precise shrinkage values ​​and the preset parameters of the pre-corrected jig 3D model. If a deviation exceeds a threshold, the system automatically triggers adjustment commands to correct the cutting angle, welding parameters, or assembly position, forming a closed-loop control of "processing-inspection-correction." After manufacturing, the jig undergoes a full-size laser scan to verify the overall dimensional accuracy (key parts ≤ ±0.3mm, overall ≤ ±0.8mm), the curvature compatibility of the outer plate mating surface, and component interference. Once the requirements are confirmed, the target jig is obtained. This target jig can be directly used for welding the target hull sections corresponding to the parent ship. Through a preset shrinkage compensation design, welding shrinkage deformation during the section manufacturing process is offset.

[0057] After the target jig passes acceptance, the system automatically integrates key data from the entire process to generate a complete full-process dataset, ensuring that data at each stage is traceable and verifiable. Specifically, it includes four core components: First, simulation results, covering the jig manufacturing deformation prediction dataset, deformation cloud maps from thermo-structural coupling simulation, residual stress distribution data, and mesh generation reports; second, inspection reports, including the quality report of point cloud acquisition for the parent ship section, real-time inspection data tables for jig manufacturing, deviation trend charts, final dimensional acceptance reports, and laser scanning point cloud data; third, application records of the parent ship section pure welding shrinkage basic dataset, detailing the call nodes, data usage details, and correlation effects of this dataset in stages such as jig structural parameter determination, process matching, model correction, and shrinkage value optimization; and fourth, optimization traces, including comparison data between the initial shrinkage value calculation results and the accurate shrinkage value, machine learning model optimization parameter adjustment records, dimensional deviation details before and after jig model correction, and parameter adjustment logs during the manufacturing process, fully presenting the optimization logic and implementation effects of the entire process.

[0058] Steps 101-105 are adopted to obtain the original three-dimensional point cloud data of the parent ship section and derive the pure welding shrinkage basic dataset containing basic identification, core shrinkage, auxiliary analysis and quality verification data. Combined with the jig basic design data, the pre-corrected jig three-dimensional model is determined. After optimization of the precise shrinkage value, the target equipment is controlled to manufacture the target jig, which effectively offsets the welding shrinkage deformation during the section assembly and welding process, ensures the flatness of the section top, and the relative positions of the deck, platform and longitudinal bulkhead remain unchanged. This reduces the difficulty of assembly and construction, significantly improves the section manufacturing accuracy and the efficiency of the slipway assembly, and reduces the economic losses caused by rework and scrap.

[0059] Furthermore, based on the original 3D point cloud data of the parent ship sections, a basic dataset for pure welding shrinkage of the parent ship sections was determined. This included: determining the initial deviation values ​​of the parent ship based on the original 3D point cloud data and the original 3D design model of the parent ship sections; determining the non-welding deformation elimination dataset based on the initial deviation values ​​of the parent ship; and determining the basic dataset for pure welding shrinkage of the parent ship sections based on the non-welding deformation elimination dataset. This approach ensured the accuracy and reliability of the shrinkage data and provided a practical core basis for subsequent jig design and shrinkage compensation, effectively avoiding interference from non-welding factors in the calculation of shrinkage.

[0060] In this embodiment, based on the jig basic design data and the basic dataset of pure welding shrinkage of the parent ship sections, a pre-corrected jig 3D model is determined, including: determining the basic parameters of the jig structure based on the jig basic design data and basic identification information; determining the jig process matching parameters based on core shrinkage data and auxiliary analysis data; determining the jig basic design dataset based on the jig structural basic parameters and jig process matching parameters; and determining the pre-corrected jig 3D model based on the jig basic design dataset. This ensures that the jig structure, process, and characteristics of section welding shrinkage are highly compatible, and also compensates for the effects of manufacturing deformation and welding shrinkage in advance, ensuring that key parts of the jig accurately correspond to section requirements. This lays a reliable foundation for the subsequent efficient manufacturing of qualified jigs and the improvement of hull section accuracy.

[0061] Specifically, based on the jig basic design dataset, a pre-corrected jig 3D model is determined, including: determining the initial 3D model of the jig based on the jig basic design dataset and basic identification information; determining the jig simulation analysis model based on the initial 3D model of the jig and quality verification data; determining the jig manufacturing deformation prediction dataset based on the jig simulation analysis model and auxiliary analysis data; and determining the pre-corrected jig 3D model based on the jig manufacturing deformation prediction dataset, core shrinkage data, and auxiliary analysis data. This achieves dual pre-compensation for jig manufacturing deformation and hull section welding shrinkage, making the pre-corrected jig 3D model highly consistent with actual manufacturing and shrinkage compensation requirements, significantly improving the model's accuracy and practicality, and providing a high-precision design basis for the subsequent precise manufacturing of the target jig.

[0062] In this embodiment, the final dataset of precise shrinkage values ​​is determined based on the pre-corrected three-dimensional model of the tire frame, including: determining the alignment visualization based on the pre-corrected three-dimensional model of the tire frame and basic identification information; determining the initial shrinkage value calculation result based on the alignment visualization and core shrinkage data; and determining the final dataset of precise shrinkage values ​​based on the initial shrinkage value calculation result, quality verification data, and auxiliary analysis data.

[0063] In this embodiment, based on the pre-corrected three-dimensional model of the jig, and combined with the multi-dimensional data of the pure welding shrinkage basic dataset of the parent ship section, the model is first aligned and visualized to ensure accurate model matching by generating an alignment visualization based on the basic identification information. Then, the initial shrinkage value is calculated by combining the core shrinkage data. Finally, the reliability of the data is controlled by the quality verification data and targeted optimization is achieved with the help of auxiliary analysis data. The final dataset of the determined accurate shrinkage value has high precision and strong credibility, providing core and reliable parameter basis for the subsequent accurate manufacturing of the jig.

[0064] Furthermore, in response to the final dataset of precise shrinkage values, a set of control instructions is generated. This includes generating a full-process dataset, which comprises simulation results, inspection reports, application records of the pure welding shrinkage basic dataset for the parent ship section, and optimization traces. This achieves systematic integration, traceability, and verifiability of the entire jig manufacturing process data, providing detailed data references and iterative optimization basis for the jig design and manufacturing of subsequent similar hull sections.

[0065] Example 2: Figure 2 This is a schematic block diagram illustrating the structure of a hull section manufacturing apparatus for adding a jig to prevent deformation, according to an exemplary embodiment. The apparatus includes:

[0066] Data acquisition module 210 is used to acquire raw 3D point cloud data of the parent ship section and basic design data of the jig;

[0067] The shrinkage module 220 is used to determine the basic dataset of pure welding shrinkage of the parent ship section based on the original three-dimensional point cloud data of the parent ship section. The basic dataset of pure welding shrinkage of the parent ship section includes at least: basic identification information, core shrinkage data, auxiliary analysis data, and quality verification data.

[0068] The corrected jig module 230 is used to determine the pre-corrected jig 3D model based on the jig basic design data and the basic dataset of pure welding shrinkage of the parent ship section.

[0069] The precision shrinkage module 240 is used to determine the final dataset of precision shrinkage values ​​based on the pre-corrected three-dimensional model of the tire frame.

[0070] The instruction generation module 250 is used to generate a control instruction set in response to the final dataset of precise shrinkage values. The control instruction set controls the target equipment to execute the target manufacturing instructions to obtain the target jig. The target jig is used to manufacture the target hull corresponding to the segmented parent ship.

[0071] Example 3: Figure 3 This is a structural block diagram of a terminal provided in an embodiment of this application. The terminal can be the terminal described in the above embodiments. The terminal can be a portable mobile terminal, such as a smartphone or tablet computer. The terminal may also be referred to as user equipment, portable terminal, or other names.

[0072] Typically, a terminal includes a processor 301 and a memory 302.

[0073] Processor 301 may include one or more processing cores, such as a quad-core processor, an octa-core processor, etc. Processor 301 may be implemented using at least one hardware form selected from DSP (Digital Signal Processing), FPGA (Field-Programmable Gate Array), and PLA (Programmable Logic Array). Processor 301 may also include a main processor and a coprocessor. The main processor, also known as a CPU (Central Processing Unit), is used to process data in the wake-up state; the coprocessor is a low-power processor used to process data in the standby state. In some embodiments, processor 301 may integrate a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content to be displayed on the screen. In some embodiments, processor 301 may also include an AI (Artificial Intelligence) processor, which is used to handle computational operations related to machine learning.

[0074] The memory 302 may include one or more computer-readable storage media, which may be tangible and non-transitory. The memory 302 may also include high-speed random access memory and non-volatile memory, such as one or more disk storage devices or flash memory devices. In some embodiments, the non-transitory computer-readable storage media in the memory 302 are used to store at least one instruction, which is executed by the processor 301 to implement a method for manufacturing hull sections with anti-deformation using a mounting frame, as provided in this application.

[0075] In some embodiments, the terminal may also optionally include: a peripheral device interface 303 and at least one peripheral device. Specifically, the peripheral device includes at least one of: a radio frequency circuit 304, a touch display screen 305, a camera 306, an audio circuit 307, a positioning component 308, and a power supply 309.

[0076] The peripheral device interface 303 can be used to connect at least one I / O (Input / Output) related peripheral device to the processor 301 and the memory 302. In some embodiments, the processor 301, memory 302, and peripheral device interface 303 are integrated on the same chip or circuit board; in some other embodiments, any one or two of the processor 301, memory 302, and peripheral device interface 303 can be implemented on separate chips or circuit boards, which is not limited in this embodiment.

[0077] The radio frequency (RF) circuit 304 is used to receive and transmit RF (Radio Frequency) signals, also known as electromagnetic signals. The RF circuit 304 communicates with communication networks and other communication devices via electromagnetic signals. The RF circuit 304 converts electrical signals into electromagnetic signals for transmission, or converts received electromagnetic signals back into electrical signals. Optionally, the RF circuit 304 includes: an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, a user identity module card, etc. The RF circuit 304 can communicate with other terminals through at least one wireless communication protocol. This wireless communication protocol includes, but is not limited to: the World Wide Web, metropolitan area networks, intranets, various generations of mobile communication networks (2G, 3G, 4G, and 5G), wireless local area networks, and / or WiFi (Wireless Fidelity) networks. In some embodiments, the RF circuit 304 may also include circuitry related to NFC (Near Field Communication), which is not limited in this application.

[0078] The touch display screen 305 is used to display a user interface (UI). This UI may include graphics, text, icons, videos, and any combination thereof. The touch display screen 305 also has the ability to collect touch signals on or above its surface. These touch signals can be input as control signals to the processor 301 for processing. The touch display screen 305 is used to provide virtual buttons and / or a virtual keyboard, also known as soft buttons and / or a soft keyboard. In some embodiments, there may be one touch display screen 305, which serves as the front panel of the terminal; in other embodiments, there may be at least two touch display screens, respectively disposed on different surfaces of the terminal or in a folded design; in still other embodiments, the touch display screen 305 may be a flexible display screen, disposed on a curved or folded surface of the terminal. Furthermore, the touch display screen 305 may be configured as a non-rectangular, irregular shape, i.e., a non-rectangular screen. The touch display screen 305 may be made of materials such as LCD (Liquid Crystal Display) or OLED (Organic Light-Emitting Diode).

[0079] Camera assembly 306 is used to acquire images or videos. Optionally, camera assembly 306 includes a front-facing camera and a rear-facing camera. Typically, the front-facing camera is used for video calls or selfies, and the rear-facing camera is used for taking photos or videos. In some embodiments, there are at least two rear-facing cameras, which are any one of a main camera, a depth-sensing camera, and a wide-angle camera, to achieve background blurring by fusion of the main camera and the depth-sensing camera, and panoramic shooting and VR (Virtual Reality) shooting by fusion of the main camera and the wide-angle camera. In some embodiments, camera assembly 306 may also include a flash. The flash can be a single-color temperature flash or a dual-color temperature flash. A dual-color temperature flash is a combination of a warm light flash and a cool light flash, which can be used for light compensation at different color temperatures.

[0080] Audio circuit 307 provides an audio interface between the user and the terminal. Audio circuit 307 may include a microphone and a speaker. The microphone is used to collect sound waves from the user and the environment, converting the sound waves into electrical signals that are input to processor 301 for processing, or input to radio frequency circuit 304 for voice communication. For stereo sound acquisition or noise reduction purposes, multiple microphones may be used, each located in a different part of the terminal. The microphone may also be an array microphone or an omnidirectional microphone. The speaker is used to convert electrical signals from processor 301 or radio frequency circuit 304 into sound waves. The speaker may be a conventional diaphragm speaker or a piezoelectric ceramic speaker. When the speaker is a piezoelectric ceramic speaker, it can convert electrical signals not only into audible sound waves but also into inaudible sound waves for purposes such as distance measurement. In some embodiments, audio circuit 307 may also include a headphone jack.

[0081] The positioning component 308 is used to determine the current geographic location of the terminal in order to enable navigation or LBS (Location Based Service). The positioning component 308 can be a positioning component based on the US GPS (Global Positioning System), China's BeiDou system, or Russia's Galileo system.

[0082] Power supply 309 is used to power the various components in the terminal. Power supply 309 can be AC ​​power, DC power, a disposable battery, or a rechargeable battery. When power supply 309 includes a rechargeable battery, the rechargeable battery can be a wired rechargeable battery or a wireless rechargeable battery. A wired rechargeable battery is a battery that is charged via a wired line, while a wireless rechargeable battery is a battery that is charged via a wireless coil. The rechargeable battery can also be used to support fast charging technology.

[0083] In some embodiments, the terminal further includes one or more sensors 310. The one or more sensors 310 include, but are not limited to: an accelerometer 311, a gyroscope 312, a pressure sensor 313, a fingerprint sensor 314, an optical sensor 315, and a proximity sensor 316.

[0084] Accelerometer 311 can detect the magnitude of acceleration along the three coordinate axes of a coordinate system established by the terminal. For example, accelerometer 311 can be used to detect the components of gravitational acceleration along the three coordinate axes. Processor 301 can control touchscreen 305 to display the user interface in landscape or portrait view based on the gravitational acceleration signal acquired by accelerometer 311. Accelerometer 311 can also be used for games or for acquiring user motion data.

[0085] The gyroscope sensor 312 can detect the terminal's orientation and rotation angle. The gyroscope sensor 312, in conjunction with the accelerometer sensor 311, can collect the user's 3D (3D) movements on the terminal. Based on the data collected by the gyroscope sensor 312, the processor 301 can perform the following functions: motion sensing (e.g., changing the UI based on the user's tilt), image stabilization during shooting, game control, and inertial navigation.

[0086] The pressure sensor 313 can be disposed on the side bezel of the terminal and / or the lower layer of the touch display screen 305. When the pressure sensor 313 is disposed on the side bezel of the terminal, it can detect the user's grip signal on the terminal and perform left / right hand recognition or quick operation based on the grip signal. When the pressure sensor 313 is disposed on the lower layer of the touch display screen 305, it can control the operable controls on the UI interface based on the user's pressure operation on the touch display screen 305. The operable controls include at least one of button controls, scroll bar controls, icon controls, and menu controls.

[0087] The fingerprint sensor 314 is used to collect a user's fingerprint to identify the user's identity. When the user's identity is verified as trusted, the processor 301 authorizes the user to perform relevant sensitive operations, including unlocking the screen, viewing encrypted information, downloading software, making payments, and changing settings. The fingerprint sensor 314 can be located on the front, back, or side of the terminal. When the terminal has physical buttons or a manufacturer's logo, the fingerprint sensor 314 can be integrated with those buttons or logos.

[0088] An optical sensor 315 is used to collect ambient light intensity. In one embodiment, the processor 301 can control the display brightness of the touch screen 305 based on the ambient light intensity collected by the optical sensor 315. Specifically, when the ambient light intensity is high, the display brightness of the touch screen 305 is increased; when the ambient light intensity is low, the display brightness of the touch screen 305 is decreased. In another embodiment, the processor 301 can also dynamically adjust the shooting parameters of the camera assembly 306 based on the ambient light intensity collected by the optical sensor 315.

[0089] The proximity sensor 316, also known as a distance sensor, is typically located on the front of the terminal. The proximity sensor 316 is used to detect the distance between the user and the front of the terminal. In one embodiment, when the proximity sensor 316 detects that the distance between the user and the front of the terminal is gradually decreasing, the processor 301 controls the touch display screen 305 to switch from a screen-on state to a screen-off state; when the proximity sensor 316 detects that the distance between the user and the front of the terminal is gradually increasing, the processor 301 controls the touch display screen 305 to switch from a screen-off state to a screen-on state.

[0090] Those skilled in the art will understand that Figure 3 The structure shown does not constitute a limitation on the terminal and may include more or fewer components than shown, or combine certain components, or use different component arrangements.

[0091] Example 4: In an exemplary embodiment, a computer-readable storage medium is also provided, on which a computer program is stored, which, when executed by a processor, implements a method for manufacturing hull sections with anti-deformation by adding a jig as provided in all embodiments of the present application.

[0092] Any combination of one or more computer-readable media may be used. A computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. A computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of computer-readable storage media include: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this document, a computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in connection with an instruction execution system, apparatus, or device.

[0093] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, capable of sending, propagating, or transmitting programs for use by or in connection with an instruction execution system, apparatus, or device.

[0094] Program code contained on a computer-readable medium may be transmitted using any suitable medium, including but not limited to wireless, wire, optical fiber, RF, etc., or any suitable combination thereof.

[0095] Computer program code for performing the operations of this invention can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, as well as conventional procedural programming languages ​​such as "C" or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0096] Example 5: In an exemplary embodiment, an application product is also provided, including one or more instructions, which can be executed by the processor 301 of the above-mentioned device to complete the above-mentioned method for manufacturing hull sections with added anti-deformation frame.

[0097] Although embodiments of the present invention have been disclosed above, they are not limited to the applications listed in the specification and embodiments. It can be applied to various fields suitable for the present invention. Other modifications can be readily made by those skilled in the art. Therefore, without departing from the general concept defined by the claims and their equivalents, the present invention is not limited to the specific details and examples shown and described herein.

Claims

1. A method for manufacturing ship hull sections with anti-deformation features using a mounting frame, characterized in that, include: Acquire raw 3D point cloud data of the parent ship sections and design data of the jig foundation; Based on the original 3D point cloud data of the parent ship section, a basic dataset of pure welding shrinkage of the parent ship section is determined. The basic dataset of pure welding shrinkage of the parent ship section includes at least: basic identification information, core shrinkage data, auxiliary analysis data, and quality verification data. Based on the basic design data of the jig and the basic dataset of pure welding shrinkage of the parent ship section, a three-dimensional model of the pre-corrected jig is determined. Based on the pre-corrected three-dimensional model of the tire frame, the final dataset of precise shrinkage values ​​is determined. In response to the final dataset of the precise shrinkage value, a set of control instructions is generated. The set of control instructions controls the target equipment to execute the target manufacturing instructions to obtain the target jig. The target jig is used to manufacture the target hull corresponding to the parent ship in sections. The final dataset of precise shrinkage values, determined based on the pre-corrected three-dimensional model of the tire frame, includes: Based on the pre-corrected three-dimensional model of the tire frame and the basic identification information, an alignment visualization diagram is determined; Based on the alignment visualization and the core shrinkage data, the initial shrinkage value calculation result is determined; Based on the initial shrinkage value calculation results, the quality verification data, and the auxiliary analysis data, the final dataset of the precise shrinkage value is determined. In response to the final dataset of the precise shrinkage values, the control instruction set is generated, and then the following is also included: Generate a full-process dataset, which includes: simulation results, inspection reports, application records and optimization traces of the pure welding shrinkage basic dataset of the parent ship section.

2. The method for manufacturing hull sections with anti-deformation by adding a jig as described in claim 1, characterized in that, Based on the original 3D point cloud data of the parent ship section, the basic dataset of pure welding shrinkage of the parent ship section is determined, including: Based on the original 3D point cloud data of the parent ship section and the original 3D design model of the parent ship section, the initial deviation value of the parent ship is determined; Based on the initial deviation value of the parent ship, a dataset for eliminating non-welded deformations is determined; Based on the non-welding deformation elimination dataset, the basic dataset for pure welding shrinkage of the parent ship section is determined.

3. The method for manufacturing ship sections with anti-deformation by adding a jig as described in claim 1, characterized in that, Based on the jig basic design data and the parent ship section pure welding shrinkage basic dataset, the pre-corrected jig three-dimensional model is determined, including: Based on the basic design data of the jig and the basic identification information, the basic parameters of the jig structure are determined; Based on the core shrinkage data and the auxiliary analysis data, the matching parameters for the tire clamping process are determined; Based on the basic parameters of the jig structure and the matching parameters of the jig process, the jig basic design dataset is determined; Based on the aforementioned jig basic design dataset, the pre-corrected jig 3D model is determined.

4. The method for manufacturing hull sections with anti-deformation by adding a jig as described in claim 3, characterized in that, Based on the aforementioned jig basic design dataset, the pre-corrected jig 3D model is determined, including: Based on the basic design dataset of the jig and the basic identification information, the initial three-dimensional model of the jig is determined; Based on the initial three-dimensional model of the jig and the quality verification data, the jig simulation analysis model is determined; Based on the aforementioned jig simulation analysis model and the aforementioned auxiliary analysis data, a jig manufacturing deformation prediction dataset is determined. Based on the pre-deformation prediction dataset of the jig manufacturing, the core shrinkage data, and the auxiliary analysis data, the pre-corrected jig three-dimensional model is determined.

5. A hull section manufacturing apparatus with added anti-deformation jig, characterized in that, include: The data acquisition module is used to acquire the original 3D point cloud data of the parent ship sections and the basic design data of the jig. The shrinkage determination module is used to determine the basic dataset of pure welding shrinkage of the parent ship section based on the original three-dimensional point cloud data of the parent ship section. The basic dataset of pure welding shrinkage of the parent ship section includes at least: basic identification information, core shrinkage data, auxiliary analysis data, and quality verification data. The corrected jig module is used to determine the three-dimensional model of the pre-corrected jig based on the jig basic design data and the parent ship section pure welding shrinkage basic dataset. The precision shrinkage module is used to determine the final dataset of precision shrinkage values ​​based on the pre-corrected three-dimensional model of the tire frame. A generation instruction module is used to generate a control instruction set in response to the final dataset of the precise shrinkage value. The control instruction set controls the target equipment to execute the target manufacturing instruction to obtain the target jig. The target jig is used to manufacture the target hull corresponding to the parent ship in sections. The final dataset of precise shrinkage values, determined based on the pre-corrected three-dimensional model of the tire frame, includes: Based on the pre-corrected three-dimensional model of the tire frame and the basic identification information, an alignment visualization diagram is determined; Based on the alignment visualization and the core shrinkage data, the initial shrinkage value calculation result is determined; Based on the initial shrinkage value calculation results, the quality verification data, and the auxiliary analysis data, the final dataset of the precise shrinkage value is determined. In response to the final dataset of the precise shrinkage values, the control instruction set is generated, and then the following is also included: Generate a full-process dataset, which includes: simulation results, inspection reports, application records and optimization traces of the pure welding shrinkage basic dataset of the parent ship section.

6. A terminal, characterized in that, include: One or more processors; Memory for storing the one or more processor-executable instructions; Wherein, the one or more processors are configured as follows: The method for manufacturing hull sections by adding a mold to reverse deformation as described in any one of claims 1 to 4.

7. A non-transitory computer-readable storage medium, characterized in that, When the instructions in the storage medium are executed by the processor of the terminal, the terminal is able to perform the hull section manufacturing method of adding a frame to reverse deformation as described in any one of claims 1 to 4.

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