Method and system for controlling construction precision of ship body of geotextile laying ship
Through high-precision measurement and three-dimensional model construction, combined with real-time monitoring and error correction, the shortcomings of measurement and construction strategies in the construction of laying ships are solved, and a more efficient and precise construction process is achieved.
Patent Information
- Application Number
- CN202510207638.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-25
- Publication Date
- 2025-03-28
AI Technical Summary
The existing technology lacks smoother and complete technical means in the process of measuring and 3D model construction of the hull of the laying ship, resulting in poor three-dimensional construction results and failure to effectively formulate targeted construction strategies and high-precision monitoring, resulting in poor construction results.
High-precision measurement equipment is used to conduct all-round measurements, and geometric dimensions and shape data are obtained through a three-dimensional laser scanner, and data preprocessing and three-dimensional model construction are carried out. Develop processing strategies based on the three-dimensional model, monitor the construction process in real time, and accurately correct errors through comparison and identification.
It improves the accuracy and efficiency of hull construction, reduces rework and material waste, saves construction costs, reduces unnecessary manpower and time investment, and improves overall construction efficiency.
Smart Images
Figure CN119720801A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of hull construction, and in particular to a method and system for controlling the construction accuracy of a hull of a laying ship. Background Art
[0002] Shipbuilding is the process of designing and building a ship, especially the construction of the hull.
[0003] The patent document with announcement number CN105785944 discloses a shipbuilding precision control process method and system, which mainly demonstrates a shipbuilding precision control process method through precision semantic model library, precision compensation planning software and precision database management. By selecting process information to match the corresponding theoretical precision data, the compensation data is obtained through a large number of iterative calculations, and compared with the measured precision data, a suitable precision control process is proposed. Closely combining semantic web technology with precision shipbuilding mode, studying shipbuilding precision control modeling technology and storage technology based on relational database, using shipbuilding precision control model to solve the problem of difficulty in sharing construction precision process knowledge between different departments during shipbuilding, so as to minimize the workload of on-site repair, improve work efficiency and reduce construction costs. Although the above patent document solves the problem of precision control, the following problems still exist in actual operation: 1. The process from measuring the hull of the layout ship to building a three-dimensional model did not adopt smoother and more complete technical means, resulting in poor three-dimensional construction effect of the hull of the layout ship.
[0004] 2. Failure to formulate a targeted construction strategy based on the actual structural and connection conditions of the hull, and failure to conduct high-precision monitoring of the hull construction process resulted in poor hull construction results.
[0005] 3. There was no more careful monitoring and analysis of the actual construction process of the hull, which resulted in the inability to correct errors based on actual conditions. Summary of the invention
[0006] The purpose of the present invention is to provide a method and system for controlling the construction accuracy of the hull of a laying ship. The process of cyclic verification helps to continuously optimize the construction process and improve the construction quality. Through timely and accurate error correction, rework and material waste caused by errors are avoided, and construction costs are saved. Refined management also reduces unnecessary manpower and time investment, improves the overall construction efficiency, and monitors the construction process in real time. The real-time construction data of key parts are collected to provide a basis for quality evaluation. Through strict quality control, problems in the processing process can be discovered and solved in time, the rework rate and scrap rate can be reduced, and the problems in the prior art can be solved.
[0007] To achieve the above object, the present invention provides the following technical solutions: A method for controlling the construction accuracy of a hull of a laying ship comprises the following steps: S1: High-precision measurement of objects: Use high-precision measurement equipment to measure the hull of the laying ship in all directions. After the measurement, the geometric size and shape data of the hull of the laying ship are obtained, and the geometric size and shape data of the hull of the laying ship are marked as the initial measurement data M initial ; S2: Measurement data processing: initial measurement data M initial Perform data preprocessing to obtain standard measurement data S initial ; S3: 3D model construction: based on standard measurement data S initial The 3D model of the hull of the laying ship is constructed using 3D modeling software. After the 3D model is constructed, the 3D model of the hull G is obtained. hull ; S4: Processing strategy formulation: Based on the 3D model of the hull G hull Formulate the process strategy for hull processing, organize the strategy documents after the process strategy is formulated, and obtain the processing strategy data P after the strategy documents are organized strategy ; S5: Real-time monitoring of the processing process: According to the processing strategy data P strategy Monitor the construction process of the laying ship hull and mark the real-time monitoring data as processing monitoring data P monitor ; S6: Error correction: Processing monitoring data P monitor With 3D model of hull G hull Perform comparisons and identify errors in the processing process.
[0008] Preferably, the hull of the laying ship is measured in all directions using high-precision measuring equipment in S1, and after the measurement is completed, the geometric size and shape data of the hull of the laying ship are obtained, including: Before conducting a full-scale measurement of the hull of the laying ship, the high-precision measuring equipment is calibrated first. The high-precision measuring equipment is a 3D laser scanner. After the equipment calibration is completed, the key measurement parts of the hull of the laying ship are cleaned, and the reference points are selected on the surface of the hull of the laying ship. selectr ; Among them, the key measurement parts of the hull of the laying ship are the keel and ribs of the hull, the hull joint parts, the interface between the hull and the propeller, the interface between the hull and the superstructure, the machinery installation position, the waterline part, the hull openings and channels, and the connection parts between the hull and the floating body; Generate a measurement path based on the key measurement parts and reference points of the hull of the layout ship, and use a 3D laser scanner to measure the hull based on the generated measurement path; The 3D laser scanner measures the hull to obtain the geometrical size and shape data of the hull of the laying ship, wherein the geometrical size and shape data are divided into point cloud data and coordinate data; Mark the geometric size and shape data as initial measurement data M initial .
[0009] Preferably, for the initial measurement data M in S2 initial Perform data preprocessing, including: For the initial measurement data M initial Perform data cleaning to remove outliers and noise data, and use filtering algorithms to filter the initial measurement data M initial Perform smoothing; Initial measurement data M initial After smoothing, key feature information is extracted using calculated normals; Convert the extracted key feature information into CSV format; After the conversion is completed, the standard measurement data S is obtained. initial .
[0010] Preferably, in the initial measurement data M initial Before removing outliers, the initial measurement data M initial Determine the degree of abnormality, including: Extract the initial measurement data M initial The outliers included in ; Extracting a target abnormal value for abnormality degree determination from the abnormal value, wherein the target abnormal value includes a mutation point and a missing point, and the mutation point refers to a point where the height difference between the peak value and the height of surrounding data is greater than a preset upper limit of the height difference, or less than a preset lower limit of the height difference; Extract the position and Z-axis coordinate value corresponding to the mutation point; Obtaining the abnormality degree coefficient of the mutation point using the position corresponding to the mutation point and the Z-axis coordinate value; The abnormality degree coefficient is obtained by the following formula:
[0011] Where D represents the abnormality coefficient of the mutation point; R represents the preset domain radius; n represents the number of domain areas formed by the neighborhood radius contained in the hull; M i represents the number of mutation points contained in the i-th neighborhood area; h irepresents the maximum height difference corresponding to all mutation points contained in the i-th neighborhood area; H mj represents the Z-axis coordinate value corresponding to the j-th mutation point in the i-th neighborhood; H p H represents the average value of the Z-axis coordinates of the mutation points contained in the i-th domain area; yj H represents the height difference limit used to identify the jth mutation point in the i-th neighborhood as the mutation point, that is, the upper limit of the height difference or the lower limit of the height difference; up Indicates the upper limit of the height difference; H down Indicates the lower limit of the height difference; The missing point is used to obtain the missing degree coefficient, and the missing degree coefficient and the abnormality degree coefficient are used to determine whether the high-precision measuring equipment needs to be recalibrated and rescanned.
[0012] Preferably, the missing point is used to obtain the missing degree coefficient, and the missing degree coefficient and the abnormality degree coefficient are used to determine whether the high-precision measurement equipment needs to be recalibrated and rescanned, including: Extract the number of missing points in the field area contained by the hull; Extracting the hull structure where the missing point is located as the target hull structure; Retrieving a preset weight coefficient corresponding to the target hull structure from a database; Extract the non-abnormal points contained in each domain area as observation cloud points; Obtaining a missing degree coefficient using the Z-axis coordinate value of the observation cloud point, the number of missing points, and a preset weight coefficient corresponding to the target hull structure; The missing degree coefficient is obtained by the following formula:
[0013] Among them, K represents the missing degree coefficient; n represents the number of domain areas formed by the neighborhood radius contained in the hull; N i represents the number of missing points contained in the ith neighborhood area; R represents the preset area radius; h fi represents the average value of the Z-axis coordinate values of the observation cloud points contained in the i-th neighborhood area; k i represents the number of target hull structures contained in the i-th neighborhood area; j represents the weight coefficient corresponding to the jth target hull structure in the i-th neighborhood area; L j represents the continuity rate of missing points corresponding to the jth target hull structure in the i-th neighborhood area, wherein the continuity rate is the ratio of the number of missing points with a continuous relationship in each target hull structure to the number of all missing points in each target hull structure; Retrieve the abnormality degree coefficient; Obtaining a comprehensive abnormality coefficient using the abnormality degree coefficient and the missing degree coefficient; The comprehensive anomaly coefficient is obtained by the following formula:
[0014] Among them, S represents the comprehensive abnormality coefficient; K represents the missing degree coefficient; D represents the abnormality degree coefficient of the mutation point; Comparing the comprehensive abnormal coefficient with a preset coefficient threshold; When the comprehensive abnormal coefficient exceeds a preset coefficient threshold, it is determined that the high-precision measuring device needs to be recalibrated and rescanned.
[0015] Preferably, for S3 according to the standard measurement data S initial The 3D modeling software is used to construct the 3D model of the hull of the laying ship, including: The standard measurement data S initial Import into 3D modeling software, and after importing, the standard measurement data S initial Conduct data checks, including completeness checks and accuracy checks; Standard measurement data S initial After importing into the 3D modeling software, use the reverse engineering tool to convert the standard measurement data into initial Convert the point cloud data in the image into a 3D mesh model; Reconstruct and identify key parts of the three-dimensional mesh model, and obtain the geometric features of the hull after reconstruction and identification; The surface modeling function is used to process the surface of the hull in the 3D mesh model. After the processing, the actual structure of the hull is obtained, and detail elements are added to the actual structure. The detail elements include the hull joints, interfaces, openings and channels. According to the geometric features in the 3D mesh model and adding detail elements DE add The actual structure after the actual three-dimensional model of the hull is obtained; Compare and verify the actual 3D model of the hull with the geometric dimensions and shape data of the hull of the laying ship obtained after measuring the hull with a 3D laser scanner; Adjust the actual 3D model of the hull based on the comparison and verification results; After the adjustment is completed, the 3D model of the hull G is obtained. hull .
[0016] Preferably, according to the three-dimensional model G of the hull in S4 hull Formulate the process strategy for hull processing and organize the strategy documents after the process strategy is formulated, including: The 3D model of the ship hullIdentify key features in the image, including size, shape, and detail elements; Select the processing technology of the hull according to the key features, including cutting, welding, forming and surface treatment; Select processing materials based on the strength requirements, corrosion resistance and processing characteristics of the hull; Design the processing steps of the hull according to the processing technology. The processing steps include the materials, equipment requirements, tools and processing parameters of each processing step, and draw a process relationship diagram according to the processing steps; Based on the process relationship diagram, the processing path M is processed by using computer-aided manufacturing software path and tool path T path generate; The generated machining path M path and tool path T path And process relationship diagram for strategic documentation; The process of organizing the policy document is as follows: First, formulate the document framework and generate the processing path M path and tool path T path Presented in the document in the form of images or graphics, with detailed descriptions of each path; Insert a process relationship diagram into the document, show the relationship between the various processing steps through a flow chart or network diagram, and provide detailed descriptions of each process in the diagram; List all materials needed in the processing, including material name, specification, model and quantity, and explain the function and purpose of each equipment; A description of the quality control standards during the processing, including the location and frequency of inspection points, inspection tools and instruments, and inspection content; After completion, the processing strategy data P is obtained strategy .
[0017] Preferably, according to the processing strategy data P in S5 strategy Monitor the construction process of the laying ship hull, including: The processing strategy data P strategy Send it to the corresponding staff, who will calculate the processing strategy data P strategy The hull of the laying ship is constructed, and the construction process of the hull of the laying ship is monitored in real time; Before conducting real-time monitoring of the construction process, the monitoring indicators are confirmed, including processing accuracy, material utilization, processing time and efficiency, safety hazards and quality pass rate; After the monitoring indicators are confirmed, the construction site monitoring system is established. The construction site monitoring system includes the selection and installation of monitoring equipment.strategy Install monitoring equipment on key parts of the hull; According to the processing strategy data P strategy Real-time monitoring and data collection of the real-time construction status of key parts of the hull; The collected real-time monitoring data is marked as processing monitoring data P monitor .
[0018] Preferably, in S6, the processing monitoring data P monitor With 3D model of hull G hull Compare and identify errors in the processing, including: Processing monitoring data monitor With 3D model of hull G hull Before making a comparison, confirm the error range during the comparison; Processing monitoring data P monitor With 3D model of hull G hull Retrieve the measurement parameters and actual parameters of key measurement parts; The error between the measured parameters and the actual parameters is calculated using the least square method; After the calculation is completed, the error range is determined and the monitoring data P is processed. monitor The error index of The error index is divided into no error, slight error and severe error; Among them, when processing monitoring data P monitor When the error index is within the confirmed error range, it is judged to be error-free; When processing monitoring data P monitor When the error index is less than or equal to 25, it is judged as a slight error; When processing monitoring data P monitor When the error index is greater than 25, it is judged as a serious error.
[0019] A hull construction precision control system for a laying ship, comprising: Error correction scheme formulation module, used to: According to the identified processing monitoring data P monitor With 3D model of hull G hull The error correction scheme is formulated based on the error index between them; The error correction plan development process includes: First, the calibration standard is set. When the error index is no error, the current construction state is maintained without adjustment. When the error index is a slight error, monitoring equipment is used to monitor and record it, and a slight adjustment plan is formulated based on the specific value of the error index, where the slight adjustment plan includes adjusting equipment parameters and calibrating mechanical equipment; If the error index is a serious error, the hull construction will be stopped immediately, and a comprehensive inspection and thorough rectification will be carried out; The hull construction process is adjusted according to the formulated error correction plan. After the adjustment, the adjusted parts are measured again and the adjustment effect is verified.
[0020] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention provides a method and system for controlling the accuracy of the hull construction of a laying ship. The reference points are selected on the surface of the hull, which helps to ensure the accuracy and consistency of the measurement data. It also provides reference points for subsequent data processing and analysis. The obtained geometric size and shape data include point cloud data and coordinate data. These data provide a rich information basis for subsequent hull analysis, design and simulation. The application of reverse engineering tools and surface modeling functions simplifies the modeling process, reduces manual intervention, and improves modeling efficiency.
[0021] 2. The present invention provides a method and system for controlling the construction accuracy of the hull of a laying ship. The error index of the processing monitoring data is judged according to the confirmed error range, which further improves the accuracy of error identification. The production plan can be adjusted in time through real-time monitoring to avoid excessive or insufficient production arrangements. The construction process is monitored in real time, and real-time construction data of key parts are collected, which can provide a basis for quality evaluation. Through strict quality control, problems in the processing process can be discovered and solved in time, reducing the rework rate and scrap rate.
[0022] 3. The present invention provides a method and system for controlling the construction accuracy of the hull of a laying ship. In the stage of serious errors, the construction is immediately stopped and a comprehensive inspection and rectification are carried out, which reflects a zero-tolerance attitude towards major quality issues and ensures the overall safety and quality of the hull. After the adjustment plan is implemented, the adjusted part is measured and verified again to ensure the effectiveness of the adjustment effect. The cyclic verification process helps to continuously optimize the construction process and improve the construction quality. Through timely and accurate error correction, rework and material waste caused by errors are avoided, saving construction costs. Refined management also reduces unnecessary manpower and time investment, and improves overall construction efficiency. BRIEF DESCRIPTION OF THE DRAWINGS
[0023] Figure 1 It is a schematic diagram of the steps of controlling the accuracy of hull construction of the present invention; Figure 2 It is a schematic diagram of the hull construction precision control process of the present invention. DETAILED DESCRIPTION
[0024] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0025] In order to solve the problem that the existing technology does not use smoother and more complete technical means in the process of measuring and building a three-dimensional model of the hull of a laying ship, which leads to poor three-dimensional construction effect of the hull of the laying ship, please refer to Figure 1 and Figure 2 , this embodiment provides the following technical solutions: A method for controlling the construction accuracy of a hull of a laying ship comprises the following steps: S1: High-precision measurement of objects: Use high-precision measurement equipment to measure the hull of the laying ship in all directions. After the measurement, the geometric size and shape data of the hull of the laying ship are obtained, and the geometric size and shape data of the hull of the laying ship are marked as the initial measurement data M initial ; The obtained geometric size and shape data include point cloud data and coordinate data, which provide a rich information basis for subsequent hull analysis, design and simulation; S2: Measurement data processing: initial measurement data M initial Perform data preprocessing to obtain standard measurement data S initial ; Among them, from data cleaning and smoothing to key feature information extraction and CSV format conversion, each step is aimed at improving the quality and usability of data; S3: 3D model construction: based on standard measurement data S initial The 3D model of the hull of the laying ship is constructed using 3D modeling software. After the 3D model is constructed, the 3D model of the hull G is obtained. hull ; The complete modeling process from data import, data checking, mesh model conversion, key part reconstruction and identification to surface processing, detail element addition, model verification and adjustment makes the modeling process more standardized and efficient. S4: Processing strategy formulation: Based on the 3D model of the hull G hull Formulate the process strategy for hull processing, organize the strategy documents after the process strategy is formulated, and obtain the processing strategy data P after the strategy documents are organized strategy ; Among them, through strict quality control, problems in the processing process can be discovered and solved in time, the rework rate and scrap rate can be reduced, and the perfect strategy document sorting process makes the formulation and implementation of processing technology strategies more standardized and systematic; S5: Real-time monitoring of the processing process: According to the processing strategy data P strategy Monitor the construction process of the laying ship hull and mark the real-time monitoring data as processing monitoring data P monitor ; Among them, by establishing a construction site monitoring system and setting up monitoring equipment and collecting data based on processing strategy data, the digitalization and intelligence level of the hull construction process of laying ships can be promoted; S6: Error correction: Processing monitoring data P monitor With 3D model of hull G hull Perform comparisons and identify errors during processing; Among them, the error index of the processing monitoring data is judged according to the confirmed error range, which further improves the accuracy of error identification.
[0026] In S1, high-precision measuring equipment is used to conduct all-round measurement of the hull of the laying ship. After the measurement is completed, the geometric size and shape data of the hull of the laying ship are obtained, including: Before conducting a full-scale measurement of the hull of the laying ship, the high-precision measuring equipment is calibrated first. The high-precision measuring equipment is a 3D laser scanner. After the equipment calibration is completed, the key measurement parts of the hull of the laying ship are cleaned, and the reference points are selected on the surface of the hull of the laying ship. selectr ; Among them, the key measurement parts of the hull of the laying ship are the keel and ribs of the hull, the hull joint parts, the interface between the hull and the propeller, the interface between the hull and the superstructure, the machinery installation position, the waterline part, the hull openings and channels, and the connection parts between the hull and the floating body; Generate a measurement path based on the key measurement parts and reference points of the hull of the layout ship, and use a 3D laser scanner to measure the hull based on the generated measurement path; The 3D laser scanner measures the hull to obtain the geometrical size and shape data of the hull of the laying ship, wherein the geometrical size and shape data are divided into point cloud data and coordinate data; Mark the geometric size and shape data as initial measurement data M initial .
[0027] Specifically, the use of 3D laser scanners for measurement can provide high-precision geometric size and shape data. This high precision helps to ensure the accuracy of subsequent analysis, design and manufacturing, covers multiple key measurement parts of the hull of the laying ship, and ensures a comprehensive understanding and evaluation of the overall structure of the hull. This helps to discover potential structural problems or design defects. Equipment calibration is a key step before measurement to ensure the accuracy and consistency of the measurement results. In addition, the use of standardized measurement methods and processes can improve the repeatability and comparability of data. 3D laser scanners can quickly scan and collect large amounts of data, greatly improving measurement efficiency. At the same time, the automated measurement process reduces the possibility of human error. The selection of reference points on the surface of the hull helps to ensure the accuracy and consistency of the measurement data, and also provides reference points for subsequent data processing and analysis. The obtained geometric size and shape data include point cloud data and coordinate data, which provide a rich information basis for subsequent hull analysis, design and simulation.
[0028] For the initial measurement data M in S2 initial Perform data preprocessing, including: For the initial measurement data M initial Perform data cleaning to remove outliers and noise data, and use filtering algorithms to filter the initial measurement data M initial Perform smoothing; Initial measurement data M initial After smoothing, key feature information is extracted using calculated normals; Convert the extracted key feature information into CSV format; After the conversion is completed, the standard measurement data S is obtained. initial .
[0029] Specifically, high-quality data is the basis for training efficient and accurate models. Data cleaning can improve the predictive and generalization capabilities of machine learning models and reduce the risks of overfitting and underfitting. By discovering and correcting data problems in advance, data cleaning can avoid duplication of work, waste of resources and even legal risks caused by data errors. Smoothing technology can remove noise and fluctuations in data, thereby more clearly revealing the potential trends and patterns of data and improving the accuracy of future data predictions. By extracting key feature information, the performance and accuracy of machine learning models can be improved, because the model can focus more on those features that affect the prediction results, and can achieve comprehensive preprocessing of initial measurement data. From data cleaning, smoothing to key feature information extraction and CSV format conversion, each step is aimed at improving the quality and availability of data. This not only helps to improve the accuracy and efficiency of subsequent data analysis, but also provides a solid foundation for the training and prediction of machine learning models. At the same time, the conversion of CSV format also facilitates the storage, transmission and sharing of data, further expanding the application scope and value of data.
[0030] Specifically, in the initial measurement data M initial Before removing outliers, the initial measurement data M initial Determine the degree of abnormality, including: Extract the initial measurement data M initial The outliers included in ; Extracting a target abnormal value for abnormality degree determination from the abnormal value, wherein the target abnormal value includes a mutation point and a missing point, and the mutation point refers to a point where the height difference between the peak value and the height of surrounding data is greater than a preset upper limit of the height difference, or less than a preset lower limit of the height difference; Extract the position and Z-axis coordinate value corresponding to the mutation point; Obtaining the abnormality degree coefficient of the mutation point using the position corresponding to the mutation point and the Z-axis coordinate value; The abnormality degree coefficient is obtained by the following formula:
[0031] Where D represents the abnormality coefficient of the mutation point; R represents the preset domain radius; n represents the number of domain areas formed by the neighborhood radius contained in the hull; M i represents the number of mutation points contained in the i-th neighborhood area; h i represents the maximum height difference corresponding to all mutation points contained in the i-th neighborhood area; H mj represents the Z-axis coordinate value corresponding to the j-th mutation point in the i-th neighborhood; H p H represents the average value of the Z-axis coordinates of the mutation points contained in the i-th domain area;yj H represents the height difference limit used to identify the jth mutation point in the i-th neighborhood as the mutation point, that is, the upper limit of the height difference or the lower limit of the height difference; up Indicates the upper limit of the height difference; H down Indicates the lower limit of the height difference; The missing point is used to obtain the missing degree coefficient, and the missing degree coefficient and the abnormality degree coefficient are used to determine whether the high-precision measuring equipment needs to be recalibrated and rescanned.
[0032] The technical effect of the above technical solution is: the solution first extracts the outliers in the initial measurement data, and then screens out the target outliers (including mutation points and missing points). This detailed classification helps to understand the abnormality of the data more accurately and provides a basis for subsequent processing. By defining and calculating the abnormality degree coefficient (D) of the mutation point, the solution can quantify the degree of abnormality of each mutation point. This not only helps to identify the most abnormal mutation points, but also provides a quantitative basis for subsequent processing. The calculation of the abnormality degree coefficient takes into account multiple factors, including the field radius, the number of neighboring areas, the number of mutation points, the maximum height difference, the Z-axis coordinate value, and the height difference limit, etc., to ensure the comprehensiveness and accuracy of the evaluation.
[0033] In addition to the mutation point, the scheme also considers the impact of the missing point and calculates the missing degree coefficient. This helps to comprehensively evaluate the abnormality of the data and ensure the integrity and accuracy of the data. According to the abnormality degree coefficient of the mutation point and the missing degree coefficient of the missing point, the scheme can determine whether the high-precision measurement equipment needs to be recalibrated and re-scanned. This helps to promptly discover and solve problems in the equipment or measurement process and ensure the accuracy and reliability of subsequent measurements. Through the above steps of outlier processing, quantification of the degree of abnormality, and equipment calibration decision-making, the scheme can significantly improve the quality and accuracy of the measurement data. This is especially important for fields that require high-precision measurement data (such as shipbuilding, construction, etc.). The scheme realizes the automation and intelligence of outlier identification and processing through well-defined algorithms and formulas. This helps to reduce manual intervention and improve work efficiency and accuracy.
[0034] In summary, this technical solution significantly improves the quality and accuracy of measurement data by accurately identifying and processing outliers, quantifying the degree of anomalies, and providing decision support for equipment calibration and rescanning, providing strong technical support for work in related fields.
[0035] Specifically, the missing point is used to obtain the missing degree coefficient, and the missing degree coefficient and the abnormality degree coefficient are used to determine whether the high-precision measurement equipment needs to be recalibrated and rescanned, including: Extract the number of missing points in the field area contained by the hull; Extracting the hull structure where the missing point is located as the target hull structure; Retrieving a preset weight coefficient corresponding to the target hull structure from a database; Extract the non-abnormal points contained in each domain area as observation cloud points; Obtaining a missing degree coefficient using the Z-axis coordinate value of the observation cloud point, the number of missing points, and a preset weight coefficient corresponding to the target hull structure; The missing degree coefficient is obtained by the following formula:
[0036] Among them, K represents the missing degree coefficient; n represents the number of domain areas formed by the neighborhood radius contained in the hull; N i represents the number of missing points contained in the ith neighborhood area; R represents the preset area radius; h fi represents the average value of the Z-axis coordinate values of the observation cloud points contained in the i-th neighborhood area; k i represents the number of target hull structures contained in the i-th neighborhood area; j represents the weight coefficient corresponding to the jth target hull structure in the i-th neighborhood area; L j represents the continuity rate of missing points corresponding to the jth target hull structure in the i-th neighborhood area, wherein the continuity rate is the ratio of the number of missing points with a continuous relationship in each target hull structure to the number of all missing points in each target hull structure; Retrieve the abnormality degree coefficient; Obtaining a comprehensive abnormality coefficient using the abnormality degree coefficient and the missing degree coefficient; The comprehensive anomaly coefficient is obtained by the following formula:
[0037] Among them, S represents the comprehensive abnormality coefficient; K represents the missing degree coefficient; D represents the abnormality degree coefficient of the mutation point; Comparing the comprehensive abnormal coefficient with a preset coefficient threshold; When the comprehensive abnormal coefficient exceeds a preset coefficient threshold, it is determined that the high-precision measuring device needs to be recalibrated and rescanned.
[0038] The technical effect of the above technical solution is that the solution not only considers the abnormal degree of the mutation point (measured by the abnormal degree coefficient D), but also introduces the missing degree of the missing point (measured by the missing degree coefficient K), thereby realizing a comprehensive evaluation of the abnormal situation of the measurement data. By extracting the hull structure where the missing point is located as the target hull structure and retrieving the corresponding preset weight coefficient from the database, the solution can make differentiated evaluations on the importance of different hull structures. This helps to more accurately reflect the impact of different structural abnormalities on the overall measurement results. The calculation of the missing degree coefficient K takes into account multiple factors, including the number of missing points, the average value of the Z-axis coordinates of the observed cloud points, the number of target hull structures, and the continuity rate of the missing points corresponding to the target hull structure. This sophisticated quantitative method helps to more accurately evaluate the impact of the missing points on the measurement results. By combining the abnormal degree coefficient D and the missing degree coefficient K to calculate the comprehensive abnormality coefficient S, the solution can provide a comprehensive evaluation index for judging the overall abnormality of the measurement data. By comparing the comprehensive abnormality coefficient S with the preset coefficient threshold, the solution can automatically determine whether the high-precision measurement equipment needs to be recalibrated and re-scanned. This intelligent decision support helps to timely discover and solve problems in the measurement process, ensuring the accuracy and reliability of subsequent measurements. Through comprehensive anomaly assessment, structured weight allocation, fine quantification of missing degrees, and intelligent decision support, the solution can significantly improve the quality and accuracy of measurement data, while reducing unnecessary recalibration and scanning operations, thereby improving measurement efficiency. Parameters such as weight coefficients and field radius in the solution can be adjusted according to actual conditions to adapt to changes in different hull structures and measurement requirements. This flexibility makes the solution have broad application prospects.
[0039] In summary, this technical solution achieves accurate judgment and processing of abnormal situations in measurement data of high-precision measurement equipment through comprehensive anomaly assessment, structured weight allocation, precise quantification of missing degrees, and intelligent decision support, which helps to improve data quality and measurement efficiency and provides strong technical support for work in related fields.
[0040] For S3 according to the standard measurement data S initial The 3D modeling software is used to construct the 3D model of the hull of the laying ship, including: The standard measurement data S initial Import into 3D modeling software, and after importing, the standard measurement data S initial Conduct data checks, including completeness checks and accuracy checks; Standard measurement data S initial After importing into the 3D modeling software, use the reverse engineering tool to convert the standard measurement data into initialConvert the point cloud data in the image into a 3D mesh model; Reconstruct and identify key parts of the three-dimensional mesh model, and obtain the geometric features of the hull after reconstruction and identification; The surface modeling function is used to process the surface of the hull in the 3D mesh model. After the processing, the actual structure of the hull is obtained, and detail elements are added to the actual structure. The detail elements include the hull joints, interfaces, openings and channels. According to the geometric features in the 3D mesh model and adding detail elements DE add The actual structure after the actual three-dimensional model of the hull is obtained; Compare and verify the actual 3D model of the hull with the geometric dimensions and shape data of the hull of the laying ship obtained after measuring the hull with a 3D laser scanner; Adjust the actual 3D model of the hull based on the comparison and verification results; After the adjustment is completed, the 3D model of the hull G is obtained. hull .
[0041] Specifically, by importing standard measurement data into 3D modeling software and performing integrity and accuracy checks, the accuracy and integrity of modeling data are ensured, thereby improving the accuracy of modeling. The application of reverse engineering tools can accurately convert point cloud data into 3D mesh models, further improving the accuracy of modeling, and providing a complete modeling process from data import, data inspection, mesh model conversion, key part reconstruction and identification to surface processing, detail element addition, model verification and adjustment, making the modeling process more standardized and efficient. The application of reverse engineering tools and surface modeling functions simplifies the modeling process, reduces manual intervention, and improves modeling efficiency. The geometric features of the hull after reconstruction and identification can truly reflect the actual shape and structure of the hull, providing a reliable basis for subsequent design, manufacturing and maintenance. The addition of detail elements, such as hull joints, interfaces, openings and channels, makes the model closer to the real situation, enhances the practicality and application value of the model, and by comparing and verifying the actual 3D model of the hull with the geometric size and shape data obtained after measuring the hull with a 3D laser scanner, errors in the model can be discovered and corrected in a timely manner to ensure the accuracy of the model. Adjusting the model according to the comparative verification results can further optimize the quality and performance of the model and make it more in line with actual needs.
[0042] In order to solve the problem that the existing technology does not formulate targeted construction strategies according to the actual structural conditions and connection conditions of the hull, and does not monitor the hull construction process with high precision, resulting in poor hull construction results, please refer to Figure 1 and Figure 2 , this embodiment provides the following technical solutions: According to the three-dimensional model of the hull G in S4hull Formulate the process strategy for hull processing and organize the strategy documents after the process strategy is formulated, including: The 3D model of the ship hull Identify key features in the image, including size, shape, and detail elements; Select the processing technology of the hull according to the key features, including cutting, welding, forming and surface treatment; Select processing materials based on the strength requirements, corrosion resistance and processing characteristics of the hull; Design the processing steps of the hull according to the processing technology. The processing steps include the materials, equipment requirements, tools and processing parameters of each processing step, and draw a process relationship diagram according to the processing steps; Based on the process relationship diagram, the processing path M is processed by using computer-aided manufacturing software path and tool path T path generate; The generated machining path M path and tool path T path And process relationship diagram for strategic documentation; The process of organizing the policy document is as follows: First, formulate the document framework and generate the processing path M path and tool path T path Presented in the document in the form of images or graphics, with detailed descriptions of each path; Insert a process relationship diagram into the document, show the relationship between the various processing steps through a flow chart or network diagram, and provide detailed descriptions of each process in the diagram; List all materials needed in the processing, including material name, specification, model and quantity, and explain the function and purpose of each equipment; A description of the quality control standards during the processing, including the location and frequency of inspection points, inspection tools and instruments, and inspection content; After completion, the processing strategy data P is obtained strategy .
[0043] Specifically, by identifying the key features (size, shape, detail elements) in the 3D model of the hull, the accuracy of the processing technology can be ensured. The use of computer-aided manufacturing software to generate processing paths and tool paths improves the efficiency and accuracy of process design. Selecting the most appropriate processing technology (cutting, welding, forming, surface treatment) based on key features helps optimize the processing process and reduce unnecessary process steps. Material selection is based on the strength requirements, corrosion resistance and processing characteristics of the hull to ensure the dual protection of hull performance and processing quality. The strategy document displays the processing path and tool path in an image or graphic manner, and displays the process relationship through a flow chart or network diagram, making the entire processing process more intuitive and easy to understand. The detailed description of each path and each process helps technicians quickly understand and accurately perform processing tasks. Listing all materials and detailed information required in the processing process helps to effectively manage materials and control costs. The description of the function and purpose of each equipment helps to ensure the rational use of equipment and avoid waste of resources. Clear quality control standards, including the location of checkpoints, inspection frequency, detection tools and instruments, and inspection content, help to ensure the stability and consistency of processing quality. Through strict quality control, problems in the processing process can be discovered and solved in time, rework rate and scrap rate can be reduced, and the perfect strategy document sorting process makes the formulation and implementation of processing technology strategy more standardized and systematic. This standardized process strategy is easy to copy and promote, which helps to improve the processing level and efficiency of the entire industry.
[0044] According to the processing strategy data P in S5 strategy Monitor the construction process of the laying ship hull, including: The processing strategy data P strategy Send it to the corresponding staff, who will calculate the processing strategy data P strategy The hull of the laying ship is constructed, and the construction process of the hull of the laying ship is monitored in real time; Before conducting real-time monitoring of the construction process, the monitoring indicators are confirmed, including processing accuracy, material utilization, processing time and efficiency, safety hazards and quality pass rate; After the monitoring indicators are confirmed, the construction site monitoring system is established. The construction site monitoring system includes the selection and installation of monitoring equipment. strategy Install monitoring equipment on key parts of the hull; According to the processing strategy data P strategy Real-time monitoring and data collection of the real-time construction status of key parts of the hull; The collected real-time monitoring data is marked as processing monitoring data P monitor .
[0045] Specifically, by sending the processing strategy data to the corresponding staff, it can be ensured that the construction process is carried out strictly in accordance with the preset strategy, thereby improving the efficiency and accuracy of the construction. Real-time monitoring of the construction process, especially the construction of key parts, helps to timely discover and correct deviations and ensure the quality of construction. Monitoring indicators such as material utilization, processing time and efficiency can reflect the use of resources, thereby helping managers optimize resource allocation and reduce waste. Through real-time monitoring, production plans can be adjusted in time to avoid excessive or insufficient production arrangements. Real-time monitoring of the construction process and collection of real-time construction data of key parts can provide a basis for quality assessment. By marking the real-time monitoring data as processing monitoring data, quality traceability and analysis can be easily carried out, thereby improving the quality pass rate in a targeted manner. Management using processing strategy data and real-time monitoring data is in line with the trend of informatization and intelligence in modern manufacturing. By establishing a construction site monitoring system and setting up monitoring equipment and collecting data based on processing strategy data, the digitalization and intelligence level of the hull construction process of the laying ship can be promoted.
[0046] For S6, the monitoring data P monitor With 3D model of hull G hull Compare and identify errors in the processing, including: Processing monitoring data monitor With 3D model of hull G hull Before making a comparison, confirm the error range during the comparison; Processing monitoring data P monitor With 3D model of hull G hull Retrieve the measurement parameters and actual parameters of key measurement parts; The error between the measured parameters and the actual parameters is calculated using the least square method; After the calculation is completed, the error range is determined and the monitoring data P is processed. monitor The error index of The error index is divided into no error, slight error and severe error; Among them, when processing monitoring data P monitor When the error index is within the confirmed error range, it is judged to be error-free; When processing monitoring data P monitor When the error index is less than or equal to 25, it is judged as a slight error; When processing monitoring data P monitor When the error index is greater than 25, it is judged as a serious error.
[0047] Specifically, by comparing the processing monitoring data with the hull three-dimensional model, the errors in the processing process can be quickly identified, so that the processing parameters or processes can be adjusted in time to improve the processing accuracy. The automated comparison and error calculation process reduces the need for manual measurement and improves work efficiency. The least squares method is used to calculate the error between the measured parameters and the actual parameters. This is a mathematically precise and commonly used method that can ensure the accuracy of error calculation. The error index of the processing monitoring data is judged according to the confirmed error range, which further improves the accuracy of error identification. The error index is divided into three categories: no error, slight error and severe error. This classification method makes the severity of the error clear at a glance and facilitates the adoption of corresponding corrective measures. Clear error classification also helps to establish quality control standards and provide guidance for subsequent processing processes. Confirming the error range before comparison makes the solution flexible and can be adjusted according to different processing requirements and accuracy requirements. At the same time, the solution is suitable for different types of hull processing processes and has strong adaptability.
[0048] In order to solve the problem that the actual construction process of the hull is not monitored and analyzed more carefully in the existing technology, resulting in the inability to correct errors according to the actual situation, please refer to Figure 1 and Figure 2 , this embodiment provides the following technical solutions: A hull construction precision control system for a laying ship, comprising: Error correction scheme formulation module, used to: According to the identified processing monitoring data P monitor With 3D model of hull G hull The error correction scheme is formulated based on the error index between them; The error correction plan development process includes: First, the calibration standard is set. When the error index is no error, the current construction state is maintained without adjustment. When the error index is a slight error, monitoring equipment is used to monitor and record it, and a slight adjustment plan is formulated based on the specific value of the error index, where the slight adjustment plan includes adjusting equipment parameters and calibrating mechanical equipment; If the error index is a serious error, the hull construction will be stopped immediately, and a comprehensive inspection and thorough rectification will be carried out; The hull construction process is adjusted according to the formulated error correction plan. After the adjustment, the adjusted parts are measured again and the adjustment effect is verified.
[0049] Specifically, detailed response measures were formulated according to different levels of error index (no error, slight error, severe error), and refined management of the construction process was achieved. When errors were found, corresponding adjustment measures could be taken quickly according to the degree of error, avoiding the accumulation and amplification of errors and ensuring the quality and progress of construction. In the stage of slight errors, the timely discovery and prevention of potential problems were achieved through monitoring equipment and records, as well as calibration of equipment parameters and mechanical equipment. In the stage of severe errors, construction was immediately stopped and a comprehensive inspection and rectification was carried out, which reflected the zero-tolerance attitude towards major quality problems and ensured the overall safety and quality of the hull. After the adjustment plan was implemented, the adjusted parts were measured and verified again to ensure the effectiveness of the adjustment effect and provide data support for subsequent continuous improvement. This cyclic verification process helps to continuously optimize the construction process and improve the construction quality. Through timely and accurate error correction, rework and material waste caused by errors are avoided, saving construction costs. At the same time, refined management also reduces unnecessary manpower and time investment and improves overall construction efficiency.
[0050] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.
[0051] While the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that many changes, modifications, substitutions and variations can be made to the embodiments without departing from the principles and spirit of the invention.
Claims
1. A method for controlling the construction accuracy of a laying ship hull, characterized in that: The steps include: S1: High-precision measurement of objects: Use high-precision measurement equipment to measure the hull of the laying ship in all directions. After the measurement, the geometric size and shape data of the hull of the laying ship are obtained, and the geometric size and shape data of the hull of the laying ship are marked as the initial measurement data M initial ; S2: Measurement data processing: initial measurement data M initial Perform data preprocessing to obtain standard measurement data S initial ; S3: 3D model construction: based on standard measurement data S initial The 3D model of the hull of the laying ship is constructed using 3D modeling software. After the 3D model is constructed, the 3D model of the hull G is obtained. hull ; S4: Processing strategy formulation: Based on the 3D model of the hull G hull Formulate the process strategy for hull processing, organize the strategy documents after the process strategy is formulated, and obtain the processing strategy data P after the strategy documents are organized strategy ; S5: Real-time monitoring of the processing process: According to the processing strategy data P strategy Monitor the construction process of the laying ship hull and mark the real-time monitoring data as processing monitoring data P monitor ; S6: Error correction: Processing monitoring data P monitor With 3D model of hull G hull Perform comparisons and identify errors in the processing process.
2. A method for controlling the construction accuracy of a hull of a laying ship according to claim 1, characterized in that: In S1, high-precision measuring equipment is used to conduct all-round measurement of the hull of the laying ship. After the measurement is completed, the geometric size and shape data of the hull of the laying ship are obtained, including: Before conducting a full-scale measurement of the hull of the laying ship, the high-precision measuring equipment is calibrated first. The high-precision measuring equipment is a 3D laser scanner. After the equipment calibration is completed, the key measurement parts of the hull of the laying ship are cleaned, and the reference points are selected on the surface of the hull of the laying ship. selectr ; Among them, the key measurement parts of the hull of the laying ship are the keel and ribs of the hull, the hull joint parts, the interface between the hull and the propeller, the interface between the hull and the superstructure, the machinery installation position, the waterline part, the hull openings and channels, and the connection parts between the hull and the floating body; Generate a measurement path based on the key measurement parts and reference points of the hull of the layout ship, and use a 3D laser scanner to measure the hull based on the generated measurement path; The 3D laser scanner measures the hull to obtain the geometrical size and shape data of the hull of the laying ship, wherein the geometrical size and shape data are divided into point cloud data and coordinate data; Mark the geometric size and shape data as initial measurement data M initial .
3. A method for controlling the construction accuracy of a hull of a laying ship according to claim 1, characterized in that: For the initial measurement data M in S2 initial Perform data preprocessing, including: For the initial measurement data M initial Perform data cleaning to remove outliers and noise data, and use filtering algorithms to filter the initial measurement data M initial Perform smoothing; Initial measurement data M initial After smoothing, key feature information is extracted using calculated normals; Convert the extracted key feature information into CSV format; After the conversion is completed, the standard measurement data S is obtained. initial .
4. A method for controlling the construction accuracy of a hull of a laying ship according to claim 3, characterized in that: In the initial measurement data M initial Before removing outliers, the initial measurement data M initial Determine the degree of abnormality, including: Extract the initial measurement data M initial The outliers included in ; Extracting a target abnormal value for abnormality degree determination from the abnormal value, wherein the target abnormal value includes a mutation point and a missing point, and the mutation point refers to a point where the height difference between the peak value and the height of surrounding data is greater than a preset upper limit of the height difference, or less than a preset lower limit of the height difference; Extract the position and Z-axis coordinate value corresponding to the mutation point; Obtaining the abnormality degree coefficient of the mutation point using the position corresponding to the mutation point and the Z-axis coordinate value; The abnormality degree coefficient is obtained by the following formula: ； Where D represents the abnormality coefficient of the mutation point; R represents the preset domain radius; n represents the number of domain areas formed by the neighborhood radius contained in the hull; M i represents the number of mutation points contained in the i-th neighborhood area; h i represents the maximum height difference corresponding to all mutation points contained in the i-th neighborhood area; H mj represents the Z-axis coordinate value corresponding to the j-th mutation point in the i-th neighborhood; H p H represents the average value of the Z-axis coordinates of the mutation points contained in the i-th domain area; yj H represents the height difference limit used to identify the jth mutation point in the i-th neighborhood as the mutation point, that is, the upper limit of the height difference or the lower limit of the height difference; up Indicates the upper limit of the height difference; H down Indicates the lower limit of the height difference; The missing point is used to obtain the missing degree coefficient, and the missing degree coefficient and the abnormality degree coefficient are used to determine whether the high-precision measuring equipment needs to be recalibrated and rescanned.
5. A method for controlling the construction accuracy of a hull of a laying ship according to claim 4, characterized in that: Obtaining the missing degree coefficient using the missing point, and determining whether the high-precision measuring equipment needs to be recalibrated and re-scanned by using the missing degree coefficient and the abnormality degree coefficient, including: Extract the number of missing points in the field area contained by the hull; Extracting the hull structure where the missing point is located as the target hull structure; Retrieving a preset weight coefficient corresponding to the target hull structure from a database; Extract the non-abnormal points contained in each domain area as observation cloud points; Obtaining a missing degree coefficient using the Z-axis coordinate value of the observation cloud point, the number of missing points, and a preset weight coefficient corresponding to the target hull structure; The missing degree coefficient is obtained by the following formula: ； Among them, K represents the missing degree coefficient; n represents the number of domain areas formed by the neighborhood radius contained in the hull; N i represents the number of missing points contained in the ith neighborhood area; R represents the preset area radius; h fi represents the average value of the Z-axis coordinate values of the observation cloud points contained in the i-th neighborhood area; k i represents the number of target hull structures contained in the i-th neighborhood area; j represents the weight coefficient corresponding to the jth target hull structure in the i-th neighborhood area; L j represents the continuity rate of missing points corresponding to the jth target hull structure in the i-th neighborhood area, wherein the continuity rate is the ratio of the number of missing points with a continuous relationship in each target hull structure to the number of all missing points in each target hull structure; Retrieve the abnormality degree coefficient; Obtaining a comprehensive abnormality coefficient using the abnormality degree coefficient and the missing degree coefficient; The comprehensive anomaly coefficient is obtained by the following formula: ； Among them, S represents the comprehensive abnormality coefficient; K represents the missing degree coefficient; D represents the abnormality degree coefficient of the mutation point; Comparing the comprehensive abnormal coefficient with a preset coefficient threshold; When the comprehensive abnormal coefficient exceeds a preset coefficient threshold, it is determined that the high-precision measuring device needs to be recalibrated and rescanned.
6. The method for controlling the construction accuracy of a hull of a laying ship according to claim 1, characterized in that: For S3 according to the standard measurement data S initial The 3D modeling software is used to construct the 3D model of the hull of the laying ship, including: The standard measurement data S initial Import into 3D modeling software, and after importing, the standard measurement data S initial Conduct data checks, including completeness checks and accuracy checks; Standard measurement data S initial After importing into the 3D modeling software, use the reverse engineering tool to convert the standard measurement data into initial Convert the point cloud data in the image into a 3D mesh model; Reconstruct and identify key parts of the three-dimensional mesh model, and obtain the geometric features of the hull after reconstruction and identification; The surface modeling function is used to process the surface of the hull in the 3D mesh model. After the processing, the actual structure of the hull is obtained, and detail elements are added to the actual structure. The detail elements include the hull joints, interfaces, openings and channels. According to the geometric features in the 3D mesh model and adding detail elements DE add The actual structure after the actual three-dimensional model of the hull is obtained; Compare and verify the actual 3D model of the hull with the geometric dimensions and shape data of the hull of the laying ship obtained after measuring the hull with a 3D laser scanner; Adjust the actual 3D model of the hull based on the comparison and verification results; After the adjustment is completed, the 3D model of the hull G is obtained. hull .
7. A method for controlling the construction accuracy of a hull of a laying ship according to claim 1, characterized in that: According to the three-dimensional model of the hull G in S4 hull Formulate the process strategy for hull processing and organize the strategy documents after the process strategy is formulated, including: The 3D model of the ship hull Identify key features in the image, including size, shape, and detail elements; Select the processing technology of the hull according to the key features, including cutting, welding, forming and surface treatment; Select processing materials based on the strength requirements, corrosion resistance and processing characteristics of the hull; Design the processing steps of the hull according to the processing technology. The processing steps include the materials, equipment requirements, tools and processing parameters of each processing step, and draw a process relationship diagram according to the processing steps; Based on the process relationship diagram, the processing path M is processed by using computer-aided manufacturing software path and tool path T path generate; The generated machining path M path and tool path T path And process relationship diagram for strategic documentation; The process of organizing the policy document is as follows: First, formulate the document framework and generate the processing path M path and tool path T path Presented in the document in the form of images or graphics, with detailed descriptions of each path; Insert a process relationship diagram into the document, show the relationship between the various processing steps through a flow chart or network diagram, and provide detailed descriptions of each process in the diagram; List all materials needed in the processing, including material name, specification, model and quantity, and explain the function and purpose of each equipment; A description of the quality control standards during the processing, including the location and frequency of inspection points, inspection tools and instruments, and inspection content; After completion, the processing strategy data P is obtained strategy .
8. The method for controlling the construction accuracy of a hull of a laying ship according to claim 1, characterized in that: According to the processing strategy data P in S5 strategy Monitor the construction process of the laying ship hull, including: The processing strategy data P strategy Send it to the corresponding staff, who will calculate the processing strategy data P strategy The hull of the laying ship is constructed, and the construction process of the hull of the laying ship is monitored in real time; Before conducting real-time monitoring of the construction process, the monitoring indicators are confirmed, including processing accuracy, material utilization, processing time and efficiency, safety hazards and quality pass rate; After the monitoring indicators are confirmed, the construction site monitoring system is established. The construction site monitoring system includes the selection and installation of monitoring equipment. strategy Install monitoring equipment on key parts of the hull; According to the processing strategy data P strategy Real-time monitoring and data collection of the real-time construction status of key parts of the hull; The collected real-time monitoring data is marked as processing monitoring data P monitor .
9. A method for controlling the construction accuracy of a hull of a laying ship according to claim 1, characterized in that: For S6, the monitoring data P will be processed monitor With 3D model of hull G hull Compare and identify errors in the processing, including: Processing monitoring data monitor With 3D model of hull G hull Before making a comparison, confirm the error range during the comparison; Processing monitoring data P monitor With 3D model of hull G hull Retrieve the measurement parameters and actual parameters of key measurement parts; The error between the measured parameters and the actual parameters is calculated using the least square method; After the calculation is completed, the error range is determined and the monitoring data P is processed. monitor The error index of The error index is divided into no error, slight error and severe error; Among them, when processing monitoring data P monitor When the error index is within the confirmed error range, it is judged to be error-free; When processing monitoring data P monitor When the error index is less than or equal to 25, it is judged as a slight error; When processing monitoring data P monitor When the error index is greater than 25, it is judged as a serious error.
10. A hull construction accuracy control system for a laying ship, applied in the hull construction accuracy control method for a laying ship as claimed in claim 9, characterized in that: include: Error correction scheme formulation module, used to: According to the identified processing monitoring data P monitor With 3D model of hull G hull The error correction scheme is formulated based on the error index between them; The error correction plan development process includes: First, the calibration standard is set. When the error index is no error, the current construction state is maintained without adjustment. When the error index is a slight error, monitoring equipment is used to monitor and record it, and a slight adjustment plan is formulated according to the specific value of the error index, where the slight adjustment plan includes adjusting equipment parameters and calibrating mechanical equipment; If the error index is a serious error, the hull construction will be stopped immediately, and a comprehensive inspection and thorough rectification will be carried out; The hull construction process is adjusted according to the formulated error correction plan. After the adjustment, the adjusted parts are measured again and the adjustment effect is verified.