Container position detection and optimization method for container ship
Through laser scanning and reverse modeling, the problem of long test cycle of container ship large cabin seat hanging box is solved, efficient and low-cost box position detection and optimization are achieved, and detection accuracy and efficiency are improved.
Patent Information
- Application Number
- CN202510341247.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-21
- Publication Date
- 2025-08-12
AI Technical Summary
In the prior art, the test cycle of large-cabin box seat hanging boxes after the construction of container ships is completed is long, resulting in high time and labor costs, making it difficult to meet the requirements of hanging boxes accuracy.
A laser scanner is used to scan the container cabin, generate a point cloud map, perform reverse modeling, simulate a test box with the UG platform, generate error reports, and achieve accuracy correction by adjusting components such as guide rails and pads.
Shorten the test box cycle, reduce costs, improve the efficiency and accuracy of container ship position detection, and simplify multiple test operations.
Smart Images
Figure CN120471822A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to a container ship, and in particular to a method for detecting and optimizing container space on a container ship. Background Art
[0002] Currently, after container ship construction is completed, large hold container positions must undergo container hoisting tests to verify that the guide rail spacing and bottom cone position meet the required container hoisting accuracy. Shipyard simulation tests are all conducted using total station measurements. This results in a long test cycle, long correction times, and high costs, impacting the test cycle and incurring significant time and labor costs. Summary of the Invention
[0003] An embodiment of the present invention provides a method for detecting and optimizing container ship positions, so as to at least solve the problem of long measurement period of total station in related technologies.
[0004] A container ship position detection and optimization method according to the present invention comprises the following steps: S1: Scan the container ship and obtain a point cloud image; S2: reverse modeling based on point cloud image; S3: Perform positioning and matching based on the selected container and guide rail model; S4: Import the container model into the reverse modeling model, drop the container along the guide rail, and calculate the distance between the container and the guide rail; S5: Generate an error report based on the distance between the container and the guide rail, and determine whether it meets the accuracy standard.
[0005] Furthermore, S1 includes: using a laser scanner to scan the entire cabin or the lashing bridge on the deck of the container ship to obtain the required point cloud map of the cabin or the lashing bridge, and recording alignment marks during scanning. The alignment marks include: hull centerline, rib position line or transverse bulkhead, and contour lines.
[0006] Furthermore, S2 includes: (1) Optimize unnecessary noise points to make the model lightweight; (2) Further positioning of the main structure of the entire cabin as well as the guide rails, box cones, pads and adjustment plates; (3) Determine the rail spacing, straightness, length, width, diagonal and horizontal dimensions of the entire cabin; length, width, diagonal and horizontal dimensions of a single container space; (4) According to the points on each guide rail surface, the point cloud image is processed to obtain the two-dimensional plane of its actual model; (5) The two-dimensional planes required for container positioning in the entire cabin or lashing bridge are established as the actual model of the two-dimensional plane.
[0007] Furthermore, S3 includes: Positioning module: Position the selected container and the built guide rail model. The container is positioned using the guide rail spacing for centering. Positioning and matching: Use fixed reference for positioning, use the hull centerline, 12-meter longitudinal section line or 15-meter longitudinal section line to determine the Y direction; use the rib position line to determine the X direction; use the contour line and the double bottom inner bottom base surface to determine the Z direction, and combine the positioning module to match the theoretical model and the measured model.
[0008] Furthermore, after S3 and before S4, it also includes: setting and configuring the accuracy standards of the accuracy management points including the guide rails, container positioning cone spacing and level according to the accuracy standards of each shipyard.
[0009] Furthermore, S4 includes: gradually lowering the container along the guide rails, during which the distances between the four corners of the container and the four guide rails are calculated by an algorithm, and their corresponding positions are recorded one by one to complete the calculation of the distances between all the guide rails and the container.
[0010] Furthermore, in S5, if the error report does not meet the accuracy standard, the portion of the guide rail that exceeds the error is corrected by cutting or pyrotechnics according to the error; the pad and the adjustment plate are adjusted, and the test is restarted from S1.
[0011] Furthermore, in S5, if the error report meets the accuracy standard, a container hanging box test simulation is performed on the scanned physical model based on the UG platform, and the physical model and the container model are solved and calculated to generate a report.
[0012] Beneficial Effects: Compared to existing technologies, this method uses a laser scanner to scan the entire container ship cabin, performs reverse modeling based on the scanned data, uses the UG platform to simulate the test box, and generates a measurement report. The modeling method is simple to operate, low-cost, easy to adjust, and convenient for multiple tests. BRIEF DESCRIPTION OF THE DRAWINGS
[0013] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings: Figure 1 is a flow chart of an embodiment of the present invention.
[0014] Figure 2 Schematic diagram of modeling of an embodiment of the present invention. DETAILED DESCRIPTION
[0015] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that, in the absence of conflict, the embodiments and features of the embodiments of the present invention can be combined with each other.
[0016] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence.
[0017] See also Figure 1 and Figure 2 The embodiment of the present invention provides a container ship position detection and optimization method according to the present invention. In this embodiment, the container ship position standard is as follows: (1) After the actual container ship is manufactured, the container can slide down smoothly from the guide rail and fall onto the container positioning cone. (2) When checking the distance between the four corners of the container top and the guide rail working surface, the single-side longitudinal spacing requirement is 17.5±6mm, and the transverse clearance requirement is 11±5mm; since the container feet are not completely in contact with the positioning cone, the container may have a certain front and back left and right deviation when placed in the corresponding position, so the bilateral clearance will be considered during the test process. The sum of the longitudinal bilateral clearance is 35±12mm, and the sum of the transverse bilateral clearance is 22±10mm. (3) Ensure that the three corners of the container are in contact, and the gap value of the other point is controlled within 3mm. (4) The diagonal deviation of the four corners of the container, the diagonal deviation of a 20ft container is ≤6mm.
[0018] A container ship position detection and optimization method comprises the following steps: S1: Scan the container ship and obtain a point cloud image; S2: reverse modeling based on point cloud image; S3: Perform positioning and matching based on the selected container and guide rail model; S4: Import the container model into the reverse modeling model, drop the container along the guide rail, and calculate the distance between the container and the guide rail; S5: Generate an error report based on the distance between the container and the guide rail, and determine whether it meets the accuracy standard.
[0019] Furthermore, S1 includes: using a laser scanner to scan the entire cabin or the lashing bridge on the deck of the container ship to obtain the required point cloud map of the cabin or the lashing bridge, and recording alignment marks during scanning. The alignment marks include: hull centerline, rib position line or transverse bulkhead, and contour lines.
[0020] Furthermore, S2 includes: (1) Optimize unnecessary noise points to make the model lightweight; (2) Further positioning of the main structure of the entire cabin as well as the guide rails, box cones, pads and adjustment plates; (3) Determine the rail spacing, straightness, length, width, diagonal and horizontal dimensions of the entire cabin; length, width, diagonal and horizontal dimensions of a single container space; (4) According to the points on each guide rail surface, the point cloud image is processed to obtain the two-dimensional plane of its actual model; (5) The two-dimensional planes required for container positioning in the entire cabin or lashing bridge are established as the actual model of the two-dimensional plane.
[0021] Furthermore, S3 includes: Positioning module: Position the selected container and the built guide rail model. The container is positioned using the guide rail spacing for centering. Positioning and matching: Use fixed reference for positioning, use the hull centerline, 12-meter longitudinal section line or 15-meter longitudinal section line to determine the Y direction; use the rib position line to determine the X direction; use the contour line and the double bottom inner bottom base surface to determine the Z direction, and combine the positioning module to match the theoretical model and the measured model.
[0022] Furthermore, after S3 and before S4, the process also includes configuring the accuracy standards for the guide rails, container positioning cone spacing, and leveling according to the accuracy standards of each shipyard. This step is achieved by designing an accuracy standard setting plug-in, which allows for interactive design and allows shipyards to modify the standards based on different ship or container types.
[0023] Furthermore, S4 includes: gradually lowering the container along the guide rails, during which the distances between the four corners of the container and the four guide rails are calculated by an algorithm, and their corresponding positions are recorded one by one to complete the calculation of the distances between all the guide rails and the container.
[0024] Furthermore, in S5, if the error report does not meet the accuracy standard, the guide rail sections that exceed the tolerance are corrected surgically or with pyrotechnics, and the pads and adjustment plates are adjusted, and testing is restarted from S1. For example, the guide rail spacing accuracy tolerance can be set to ±3mm. Any deviation exceeding ±3mm will trigger an alarm display. After the error analysis is completed, the error report is imported into the output module to generate an error report. The error report can use different colors to represent different degrees of error. Based on the report, a solution is provided. The solution is divided into two parts: the guide rail section, which involves correcting the deviation by surgically or with pyrotechnics. The pads and adjustment plates are then used to meet the horizontal accuracy requirements of the entire tank while minimizing the number of adjustment plates used or the weight of the adjustment plates. Adjustment plate specifications generally come in steel plates with thicknesses of 6mm, 8mm, 12mm, 16mm, and 24mm, which vary slightly from shipyard to shipyard. Therefore, this section is also designed to be interactive, allowing each shipyard to select adjustment plates of different thicknesses based on their specific needs.
[0025] Currently, the commonly used standard containers are 20-foot and 40-foot standard containers, and some other sizes are also available. By setting up a container selection module, the actual operators can choose and adjust the specifications of the containers.
[0026] Furthermore, in S5, if the error report meets the accuracy standard, a container gondola test simulation is performed on the scanned physical model based on the UG platform. The physical model and the container model are solved and calculated to generate a report. The report includes animation and text content.
[0027] The following is a specific example for explanation: 1. Data Acquisition: Use a total station to scan the container ship cabin and obtain complete 3D point cloud data. Ensure that all details are captured during the scanning process, especially to avoid missing important positioning data such as guide rails, hull centerlines, and rib lines.
[0028] 2. Point cloud preprocessing: Import the scanned data into Geomagic software for preprocessing. This preprocessing step includes removing noise, repairing missing data, and simplifying the point cloud. Removing excess noise and redundant data improves the efficiency and accuracy of subsequent processing.
[0029] 3. Surface Reconstruction: In Geomagic, use the surface reconstruction tool to convert the processed point cloud data into a polygonal mesh or surface model. Depending on your needs, you can choose from a variety of reconstruction algorithms, such as Poisson reconstruction and RBF (Radial Basis Function) reconstruction. This step is the core of reverse modeling, as it reconstructs the surface to create a digital model that matches the original object's shape.
[0030] 4. Feature Extraction and Editing: Based on the generated model, further geometric features can be extracted and edited. Using Geomagic's feature extraction tools, you can identify and extract geometric features such as edges, holes, and protrusions on rails or lashings, and perform detailed editing and adjustments. This step helps improve the accuracy and editability of the model.
[0031] 5. Model Optimization: Optimize and refine the reconstructed model, including smoothing, detail enhancement, and mesh optimization. Ensure the smooth surfaces and clear details of key positioning components such as guide rails, lashing bridges, and positioning cones, while reducing the number of polygons to improve the model's computational efficiency and usability.
[0032] 6. Export CAD model: Finally, export the optimized 3D model to common CAD formats such as STL, STEP, etc. for further design and processing in other CAD software.
[0033] Through the above steps, the entire process from 3D scanning to reverse modeling can be completed to generate a high-quality CAD model.
[0034] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as within the scope of protection of the present invention.
Claims
1. A container ship position detection and optimization method, characterized in that: Including steps: S1: Scan the container ship and obtain a point cloud image; S2: reverse modeling based on point cloud image; S3: Perform positioning and matching based on the selected container and guide rail model; S4: Import the container model into the reverse modeling model, drop the container along the guide rail, and calculate the distance between the container and the guide rail; S5: Generate an error report based on the distance between the container and the guide rail, and determine whether it meets the accuracy standard.
2. A container ship space detection and optimization method according to claim 1, characterized in that: S1 includes: Use a laser scanner to scan the entire cabin or deck lashing bridge of the container ship to obtain the required point cloud map of the cabin or lashing bridge, and record the alignment marks during scanning. The alignment marks include: hull centerline, rib position line or transverse bulkhead, and contour lines.
3. A container ship space detection and optimization method according to claim 1, characterized in that S2 include: (1) Optimize unnecessary noise points to make the model lightweight; (2) Further positioning of the main structure of the entire cabin as well as the guide rails, box cones, pads and adjustment plates; (3) Determine the rail spacing, straightness, length, width, diagonal and horizontal dimensions of the entire cabin; length, width, diagonal and horizontal dimensions of a single container space; (4) According to the points on each guide rail surface, the point cloud image is processed to obtain the two-dimensional plane of its actual model; (5) The two-dimensional planes required for container positioning in the entire cabin or lashing bridge are established as the actual model of the two-dimensional plane.
4. A container ship space detection and optimization method according to claim 1, characterized in that S3 include: Positioning module: Position the selected container and the built guide rail model. The container is positioned using the guide rail spacing for centering. Positioning and matching: Use fixed reference for positioning, use the hull centerline, 12-meter longitudinal section line or 15-meter longitudinal section line to determine the Y direction; use the rib position line to determine the X direction; use the contour line and the double bottom inner bottom base surface to determine the Z direction, and combine the positioning module to match the theoretical model and the measured model.
5. The method for detecting and optimizing container ship space according to claim 1, characterized in that: After S3 and before S4, it also includes: setting and configuring the accuracy standards of the accuracy management points including guide rails, container positioning cone spacing and level according to the accuracy standards of each shipyard.
6. A container ship space detection and optimization method according to claim 1, characterized in that: S4 includes: gradually lowering the container along the guide rails, during which the distances between the four corners of the container and the four guide rails are calculated by an algorithm, and their corresponding positions are recorded one by one to complete the distance calculation between all the guide rails and the container.
7. The method for detecting and optimizing container ship space according to claim 1, characterized in that: In S5, if the error report does not meet the accuracy standard, the part of the guide rail that exceeds the error is corrected by cutting or pyrotechnics according to the error; the pad and adjustment plate are adjusted, and the test is restarted from S1.
8. The method for detecting and optimizing container ship space according to claim 1, characterized in that: In S5, if the error report meets the accuracy standard, a container hanging box test simulation is performed on the scanned physical model, and a solution calculation is performed through the physical model and the container model to generate a report.