A full-process management system and method for dynamic allocation of LNG ship segment construction beds

Abstract

The application discloses a full-process management system for dynamic allocation of a LNG ship segment construction berth, which comprises a data acquisition and processing module, a segment construction management module, a berth dynamic allocation module, a state monitoring module, an analysis and decision module and a data storage and management module. The data acquisition and processing module is based on design data and production data related to LNG ship segment construction and berth scheduling, and realizes efficient acquisition and processing of ship production data according to machine learning and pre-set LNG ship construction scheduling rules. The segment construction management module dynamically manages a to-be-constructed segment task queue and its process constraints according to the output of the data acquisition and processing module. The application combines the special process of the LNG ship with real-time collected data, and realizes dynamic allocation and full-process closed-loop management of the berth resources under complex constraints and environments through the construction of a dynamic scheduling, decision analysis, visual monitoring and full-process collaborative management mechanism, so as to improve the segment construction efficiency of the LNG ship.

Description

Technical Field

[0001] This invention belongs to the field of intelligent manufacturing technology for LNG ships, and specifically relates to a full-process management system and method for dynamic allocation of LNG ship sectional construction space. Background Technology

[0002] In the construction of LNG ships, there are many critical nodes in the hull structure, requiring extremely high construction precision. Sectional construction is a crucial part of LNG ship construction, and the efficiency of sectional allocation directly affects the construction cycle and production costs. Traditional LNG ship sectional construction sectional allocation often relies on manual weekly or monthly planning, depending on human experience and static production scheduling. This approach cannot cope with dynamic adjustment needs caused by unexpected tasks or equipment failures, resulting in low resource utilization and delayed response.

[0003] With the development of technology, computer-aided technology has been widely applied in shipbuilding production. However, existing computer-aided technology tools still face problems such as low efficiency, insufficient accuracy, and difficulty in data management when dealing with complex shipbuilding. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to address the shortcomings of the prior art by providing a dynamic allocation management system and method for LNG ship segment construction. Combining the special processes of LNG ships with real-time data acquisition, the invention constructs a dynamic scheduling, decision analysis, visual monitoring and full-process collaborative management mechanism to realize the dynamic allocation and closed-loop control of LNG ship segment construction resources under complex constraints and environments, thereby improving the efficiency of LNG ship segment construction.

[0005] To achieve the above objectives, the present invention adopts the following technical solution:

[0006] A full-process management system for dynamic allocation of tire positions in LNG vessel sectional construction is disclosed. This system includes a data acquisition and processing module, a sectional construction management module, a tire position dynamic allocation module, a status monitoring module, an analysis and decision-making module, and a data storage and management module.

[0007] The data acquisition and processing module is based on design data and production data related to LNG ship section construction and tire position scheduling. According to machine learning and pre-set LNG ship construction scheduling rules, it can efficiently acquire and process ship production data.

[0008] The segmented construction management module dynamically manages the queue of tasks to be built and their process constraints based on the output of the data acquisition and processing module.

[0009] The fetal position dynamic allocation module performs intelligent dynamic allocation and full-process optimization of fetal position usage during the segmented construction process based on the task queue and real-time resource status output by the segmented construction management module.

[0010] The status monitoring module is used to monitor the execution status of the plan in real time and compare it with the allocation plan to identify execution deviations;

[0011] The analysis and decision-making module analyzes the deviations identified by the status monitoring module and generates decision suggestions to dynamically reschedule the fetal position dynamic allocation module.

[0012] The data storage management module performs structured storage management of all data throughout the entire process of dynamic allocation of LNG vessel segment construction space.

[0013] Furthermore, the data acquisition and processing module is used to collect and process real-time status data of fetal position, segmentation, and equipment, as well as information system data. The extracted data is classified and organized using Excel spreadsheet tools and ETL scripts, and is categorized into fetal position-specific parameters and segment-common parameters. The processed data is stored in the system database according to the classification structure, and subsequent modules perform data query and unified management.

[0014] Furthermore, the segmented construction management module receives standardized data output from the data acquisition and processing module, and dynamically manages the task queue of segments to be built and their process constraints based on the tire position allocation parameters and segmented process information, thereby achieving rapid and accurate control over the LNG vessel segmented construction process.

[0015] Furthermore, the tire position dynamic allocation module, based on the task queue and real-time resource status output by the segmented construction management module, and according to preset rules such as segmented construction sequence, tire position capacity limit, and welding process requirements, performs real-time matching and dynamic adjustment of the segmented construction process and tire position usage.

[0016] Furthermore, the status monitoring module receives the execution data of the fetal position allocation scheme generated by the fetal position dynamic allocation module and the actual status data of the fetal positions reported by the on-site sensors. It comprehensively and in real time displays the occupancy status of each fetal position, the construction progress of each segment, and the equipment operating status in a visual format, as well as the segment information and remaining working hours currently carried by each fetal position, enabling full-cycle fetal position status traceability and monitoring management.

[0017] Furthermore, the analysis and decision-making module performs in-depth analysis and optimization decisions on the entire process of LNG ship segment construction. Based on the preset LNG ship construction specifications and tire position allocation rules, it generates corresponding analysis reports and scheduling optimization suggestions. Through a visual decision-making dashboard, it outputs tire position reassignment suggestions, progress warning information, and process parameter adjustment schemes to the staff.

[0018] Furthermore, the data storage management module adopts a distributed relational database. Based on the modification and query of tire position and segment association data, it uniformly modifies the tire position data of batch segment construction. The modified data is automatically updated to the database, and the relevant tire position allocation scheme is updated synchronously. This enables the structured storage and unified management of all data in the entire process of dynamic allocation of tire positions in LNG ship segment construction.

[0019] Furthermore, a method for dynamic allocation of space in the construction of LNG ship sections is provided, comprising the following steps:

[0020] (1) Collect and process real-time status data of fetal position, segmentation and equipment and information system data. Use Excel spreadsheet tool and ETL script to classify and organize the extracted data into fetal position-specific parameters and segmentation-common parameters. Store the processed data in the system database according to the classification structure. Subsequent modules will query and manage the data in a unified manner.

[0021] (2) Receive standardized data, and dynamically manage the task queue of the sections to be built and their process constraints according to the tire position allocation parameters and the section process information, so as to realize the rapid and accurate control of the LNG ship section construction process;

[0022] (3) Based on the task queue and real-time resource status, and based on the preset rules of segmented construction sequence, jig capacity limit, and welding process requirements, the segmented construction process and jig usage are matched and dynamically adjusted in real time.

[0023] (4) Receive the execution data of the tire position allocation plan and the actual status data of the tire position reported by the field sensors. In a visual form, comprehensively and in real time display the occupancy status of each tire position, the construction progress of each segment and the equipment operation status, the segment information currently carried by each tire position and the remaining working hours, and the tire position status traceability and monitoring management throughout the entire cycle.

[0024] (5) Conduct in-depth analysis and optimization decision-making on the entire process of LNG ship segment construction. Based on the preset LNG ship construction specifications and tire position allocation rules, generate corresponding analysis reports and scheduling optimization suggestions. Through the visual decision-making dashboard, output tire position reassignment suggestions, progress warning information and process parameter adjustment schemes to the staff.

[0025] (6) A distributed relational database is adopted. Based on the modification and query of the tire position and segment association data, the tire position data of batch segment construction is uniformly modified. The modified data is automatically updated to the database and the relevant tire position allocation scheme is updated synchronously. All data in the entire process of dynamic allocation of LNG ship segment construction tire positions is structured and uniformly managed.

[0026] Compared with the prior art, the present invention has the following beneficial effects:

[0027] 1. Dynamic scheduling: This invention establishes a dynamic response mechanism for tire position based on real-time working conditions, and responds in real time to various production disturbances such as progress delays, equipment failures, emergencies, and environmental anomalies, so as to realize the dynamic allocation and real-time adjustment of tire position resources and shorten the segmented construction cycle.

[0028] 2. Full-process control: This invention constructs a complete closed-loop management system from data collection, plan generation, execution monitoring, dynamic adjustment to feedback, to realize segmented construction and full life cycle management.

[0029] 3. Improve resource utilization: This invention improves scheduling efficiency and resource utilization by handling the multi-task and multi-constraint scenarios of LNG ship segmented construction, which involves a large number of segments, multiple tire position types, and complex process constraints. Attached Figure Description

[0030] Figure 1 This is a diagram of the overall system architecture of the present invention;

[0031] Figure 2 This is a flowchart of the data acquisition and processing module of the present invention;

[0032] Figure 3 This is a flowchart of the segmented construction management module of the present invention;

[0033] Figure 4 This is a flowchart of the dynamic fetal position allocation module of the present invention;

[0034] Figure 5 This is a flowchart of the status monitoring module of the present invention;

[0035] Figure 6 This is a flowchart of the analysis and decision-making module of the present invention;

[0036] Figure 7 This is a flowchart of the data storage management module of the present invention. Detailed Implementation

[0037] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

[0038] Reference Figure 1-7 A full-process management system for dynamic allocation of tire positions in LNG vessel segment construction includes a data acquisition and processing module, a segment construction management module, a tire position dynamic allocation module, a status monitoring module, an analysis and decision-making module, and a data storage and management module.

[0039] The data acquisition and processing module is used to collect and process real-time status data of fetal position, segmentation, and equipment, as well as information system data;

[0040] The segmented construction management module dynamically manages the queue of tasks to be built and their process constraints based on the output of the data acquisition and processing module.

[0041] The dynamic allocation module for fetal positions intelligently and dynamically allocates and optimizes the use of fetal positions during the segmented construction process based on the task queue and real-time resource status output by the segmented construction management module.

[0042] The status monitoring module is used to monitor the execution status of the plan in real time, compare it with the allocation plan, and identify execution deviations.

[0043] The analysis and decision-making module analyzes the deviations identified by the status monitoring module and generates decision suggestions to dynamically schedule the fetal position dynamic allocation module.

[0044] The data storage management module performs structured storage management of all data throughout the entire process of dynamic allocation of LNG vessel segment construction positions.

[0045] This system enables closed-loop management from data perception to intelligent decision-making, solving the problems of space resource conflicts and response delays in the construction of LNG ship sections, significantly improving the utilization rate of docks / spaces and construction efficiency, and shortening the section construction cycle.

[0046] Specifically:

[0047] 1. Data Acquisition and Processing Module

[0048] First, design data and production data related to LNG vessel section construction and tire position scheduling were collected. Preliminary data, including section geometric parameters, tire position load-bearing capacity, site layout, lifting equipment parameters, process flow nodes, process constraints, and equipment status, was imported through the shipbuilding management software API interface. The acquired raw data underwent preprocessing: duplicate, erroneous, and incomplete data were removed. Records with missing tire position adaptation standards, section weights, and planned tire loading / unloading times were supplemented or deleted to ensure data accuracy and completeness. The data format was then uniformly converted to the JSON / XML standard middleware format. Finally, Excel spreadsheets and ETL scripts were used to categorize and organize the extracted data into tire position-specific parameters and section-wide common parameters.

[0049] Tire position-specific parameters include tire position number, load capacity, effective working area, equipment status, and occupancy period; common parameters for sections are constraints that can be used by all types of sections, such as standard section weight range, curved / flat section identification, side / deck / bullet type, and paint requirement level, and are made into parameterized data table templates.

[0050] Based on machine learning and pre-defined LNG ship construction scheduling rules, valid data that meets the conditions is extracted from production data. For example, data rules are set for different section types: stern section, cargo hold section, pump room section, etc.

[0051] Based on the corresponding data of different types of segments and fetal positions, the results are further analyzed in depth to optimize the fetal position classification rules and matching parameter weights, thereby ensuring the accuracy and efficiency of subsequent fetal position allocation decisions.

[0052] The collected and processed valid data is stored in the system database in a categorized manner, which facilitates data querying, calculation and analysis, and unified management by subsequent modules.

[0053] 2. Segmented Construction Management Module

[0054] It receives standardized data output from the data acquisition and processing module, and, based on tire position allocation parameters and segmented process information, enables rapid and accurate control of the LNG vessel segmented construction process.

[0055] When the dynamic allocation module for workstation positions detects resource conflicts or plan changes, such as workstation position occupancy timeouts or segment priority adjustments, the segment construction management module promptly sends relevant information to other construction subsystems, triggering corresponding process adjustment mechanisms. Through standardized interface protocols, it interacts with other systems for data exchange and information sharing. For example, when a workstation position occupancy timeout is detected, the timekeeping system is notified to reschedule work shifts, and the status information of the timed-out workstations is sent to the dynamic allocation module for reallocation of available workstations. When a change in segment priority is detected, the system is notified to adjust the delivery sequence of supporting materials. Simultaneously, it receives real-time progress data from each construction workstation, provides a user interface, and allows management personnel to remotely control the segment construction process, enabling functions such as progress query and process traceability.

[0056] 3. Dynamic Fetal Position Allocation Module

[0057] The tire position dynamic allocation module receives the construction task queue output by the segmented construction management module. Combining the tire position occupancy status, segment progress and environmental parameters such as temperature and humidity collected by on-site sensors, it realizes real-time matching and dynamic adjustment of segments and tire positions based on preset rules such as segmented construction sequence, tire position capacity limit and welding process requirements.

[0058] For example, before segmented hoisting, the module prioritizes allocating high-priority segments to spacers that meet process requirements but have low utilization rates, based on the segment's weight, size, construction priority, load-bearing capacity, and spatial adaptability, thus avoiding construction delays caused by spacer overload or spatial conflicts. When a resource bottleneck is detected in a spacer due to equipment failure or abnormal construction progress, the module automatically triggers a dynamic adjustment mechanism, combining historical spacer usage data and process constraints to replan the segment allocation path and generate an adjustment plan.

[0059] Furthermore, the module integrates segment data from multiple construction areas, jig load monitoring data, and welding sequence rules from the process database for task correlation analysis. Combining real-time jig occupancy data and equipment operation data, it analyzes the relationships between different tasks, enabling collaborative scheduling across processes and workshops. For example, by analyzing the overlap between segment hoisting time and jig release cycle, it determines the matching relationship between segment priority and jig attributes, as well as the connection between processes. In conjunction with time information, it analyzes jig usage patterns, such as statistically analyzing jig occupancy rates for different ship types at various time periods and the load on key equipment, dynamically generating corresponding allocation schemes and adjustment information.

[0060] 4. Status monitoring module

[0061] Based on the data acquisition and processing module and the dynamic allocation module for tire positions, the status monitoring module receives the execution data of the tire position allocation scheme generated by the dynamic allocation module for tire positions and the actual status data of tire positions reported by on-site sensors. It comprehensively and in real time displays the occupancy status of each tire position, the construction progress of each segment, and the operating status of the equipment in a visual form, clearly presenting the segment information currently borne by each tire position and the remaining working hours.

[0062] The status monitoring module has a visual interface, allowing users to set monitoring parameter thresholds, set abnormal alarms, filter data, and export reports through menus, toolbars, and pop-up prompts.

[0063] The parameter threshold settings allow users to input alarm upper and lower limit parameters and warning deviation variables. With an intuitive two-dimensional dashboard and three-dimensional tire position layout display, the system recalculates the exceedance of each tire position status indicator based on real-time collected data, and quickly adjusts and generates different types and levels of monitoring alarm information, such as tire position overload warning, occupancy timeout alarm, and abnormal tire position vacancy alarm.

[0064] The monitoring and interactive operation allows staff to click on specific locations within the 3D model using a mouse, keyboard, or other devices to view detailed information about the tire positions from multiple angles and scales. The model highlights the currently occupied segments for each tire position, enabling linked viewing of tire position layout and segment construction progress. Clicking on a tire position will bring up detailed statistics for that position, including the current segment number, planned completion time, actual progress percentage, and deviation analysis. Relevant alarm data and statistical charts on the monitoring panel are updated simultaneously. A search and filtering function is provided, allowing users to quickly find and locate the required tire position or segment information by entering keywords such as tire position number or segment number. Users can also view the historical occupancy records and scheduling change logs for that tire position, achieving full-cycle traceability and monitoring management of tire position status.

[0065] 5. Analysis and Decision Module

[0066] The analysis and decision-making module receives real-time data from the tire position dynamic allocation module and the segment construction management module, including the occupancy status of each tire position, segment construction progress, equipment operating conditions, and process task data. It performs in-depth analysis and optimization decisions on the entire LNG vessel segment construction process. Based on the preset LNG vessel construction specifications and tire position allocation rules, it performs multi-objective optimization analysis and task-related decision-making on the collected data. For example, when multiple segments are nearing completion and the next batch of segments is waiting to be allocated, it analyzes the changing trend of tire position occupancy rate and segment construction progress over multiple consecutive time periods to determine whether there are complex abnormal situations such as resource conflicts, such as tire position idleness, overload operation, and segment queuing, and automatically generates optimization suggestions.

[0067] Furthermore, operational data from multiple tire positions across the entire site are integrated and analyzed. Combining the tire position status of the LNG vessel with the process requirements of each section, the relationships between various production factors are analyzed to determine the compatibility between sections and tire positions, and the matching of resources. For example, when multiple workstations simultaneously apply for the same type of tire position, the matching relationship between section priority and tire position attributes, and the connection between processes are assessed. Data such as tire position turnover rate, section completion efficiency, and equipment usage frequency are statistically analyzed over different time periods to generate corresponding analysis reports and scheduling optimization suggestions. Through a visual decision dashboard, tire position reallocation suggestions, progress warnings, and process parameter optimization plans are provided to staff.

[0068] 6. Data Storage Management Module

[0069] The database storage module employs a distributed relational database to achieve unified data storage and management of the entire process of dynamic allocation of tire positions in LNG vessel segment construction. It stores data for the entire dynamic allocation process, including basic tire position information (tire position number, dimensions, load-bearing capacity, workshop affiliation), segment construction task data (segment number, weight, type, work order list, planned man-hours), dynamic allocation records (allocation time, start and end times of occupation, corresponding segment, operators), and real-time production process data. A standardized data structure and storage method are used to ensure data integrity, consistency, and security. It supports data exchange formats such as JSON and XML, allowing batch import of segment construction plans and tire position information from external files such as Excel and CSV. Simultaneously, it exports tire position allocation schemes, allocation logs, and other data to various formats for use by other systems.

[0070] The module allows for modification and querying based on fetal position and segment association data. It uniformly modifies fetal position data for batch segment construction, automatically updating the database with the modified data and simultaneously updating the relevant fetal position allocation plan. Simultaneously, the module provides a fast data retrieval function, employing data storage methods and index design to retrieve data based on conditions such as segment type, fetal position number, and construction status. The results are visualized in tables and charts on the front-end interface, allowing managers to monitor fetal position resources and segment production status in real time.

[0071] A method for dynamic allocation of space in LNG vessel sectional construction throughout the entire process, comprising the following steps:

[0072] Step 1: The data acquisition and processing module collects and processes real-time status data of fetal position, segmentation, and equipment, as well as data from the information system. It uses Excel spreadsheets and ETL scripts to classify and organize the extracted data into fetal position-specific parameters and segment-common parameters. The processed data is then stored in the system database according to the classification structure, and subsequent modules perform data queries and unified management.

[0073] Step 2: The segment construction management module receives standardized data output from the data acquisition and processing module. Based on the tire position allocation parameters and segment process information, it dynamically manages the task queue of segments to be built and their process constraints, thereby achieving rapid and accurate control over the LNG vessel segment construction process.

[0074] Step 3: The tire position dynamic allocation module, based on the task queue and real-time resource status output by the segmented construction management module, and based on preset rules such as segmented construction sequence, tire position capacity limit, and welding process requirements, matches and dynamically adjusts the segmented construction process and tire position usage in real time.

[0075] Step 4: The status monitoring module receives the execution data of the tire position allocation scheme generated by the tire position dynamic allocation module and the actual status data of the tire position reported by the field sensors. It comprehensively and in real time displays the occupancy status of each tire position, the construction progress of each segment, and the equipment operation status in a visual format, as well as the segment information and remaining working hours currently carried by each tire position, and provides full-cycle tire position status traceability and monitoring management.

[0076] Step 5: The analysis and decision-making module conducts in-depth analysis and optimization decisions on the entire process of LNG ship segment construction. Based on the preset LNG ship construction specifications and tire position allocation rules, it generates corresponding analysis reports and scheduling optimization suggestions. Through a visual decision-making dashboard, it outputs tire position reassignment suggestions, progress warning information and process parameter adjustment plans to the staff.

[0077] Step 6: The data storage management module adopts a distributed relational database. Based on the modification and query of the tire position and segment association data, it uniformly modifies the tire position data of batch segment construction. The modified data is automatically updated to the database, and the relevant tire position allocation scheme is updated synchronously. This enables the structured storage and unified management of all data in the entire process of dynamic allocation of tire positions in LNG ship segment construction.

[0078] In summary, the global LNG ship market demand continues to grow, and my country's leading shipyards are accelerating their intelligent transformation. As a core and scarce resource in sectional construction, the level of refinement in the management of space directly constrains capacity release. This system can be widely applied to the sectional construction of high-value-added vessels such as LNG carriers, large container ships, and very large crude carriers. In terms of economic benefits, taking a shipyard with an annual capacity of 18 LNG carriers as an example, space utilization will increase by approximately 22%, sectional construction cycle will be shortened by approximately 23%, and anomaly response time will be reduced by more than 80%. It is estimated that this will reduce annual labor hour losses caused by idle space and inefficient scheduling by approximately RMB 12 million, release the monthly capacity of approximately 1.5 sections, equivalent to an annual increase in output value of approximately RMB 30 million, with an investment payback period of no more than 18 months.

Claims

1. A full-process management system for dynamic allocation of space allocation in LNG ship segment construction, characterized in that: The system includes a data acquisition and processing module, a segmented construction management module, a fetal position dynamic allocation module, a status monitoring module, an analysis and decision-making module, and a data storage and management module. The data acquisition and processing module is based on design data and production data related to LNG ship section construction and tire position scheduling. According to machine learning and pre-set LNG ship construction scheduling rules, it can efficiently acquire and process ship production data. The segmented construction management module dynamically manages the queue of tasks to be built and their process constraints based on the output of the data acquisition and processing module. The fetal position dynamic allocation module performs intelligent dynamic allocation and full-process optimization of fetal position usage during the segmented construction process based on the task queue and real-time resource status output by the segmented construction management module. The status monitoring module is used to monitor the execution status of the plan in real time and compare it with the allocation plan to identify execution deviations; The analysis and decision-making module analyzes the deviations identified by the status monitoring module and generates decision suggestions to dynamically reschedule the fetal position dynamic allocation module. The data storage management module performs structured storage management of all data throughout the entire process of dynamic allocation of LNG vessel segment construction space.

2. The LNG vessel section construction dynamic allocation full-process management system according to claim 1, characterized in that: The data acquisition and processing module is used to collect and process real-time status data of fetal position, segmentation, and equipment, as well as information system data. It uses Excel spreadsheet tools and ETL scripts to classify and organize the extracted data into fetal position-specific parameters and segment-common parameters. The processed data is stored in the system database according to the classification structure, and subsequent modules perform data query and unified management.

3. The LNG ship section construction dynamic allocation full-process management system according to claim 1, characterized in that: The segmented construction management module receives standardized data output from the data acquisition and processing module, and dynamically manages the task queue of segments to be built and their process constraints based on the tire position allocation parameters and segmented process information, thereby achieving rapid and accurate control over the LNG vessel segmented construction process.

4. The LNG ship section construction dynamic allocation full-process management system according to claim 1, characterized in that: The tire position dynamic allocation module, based on the task queue and real-time resource status output by the segmented construction management module, and according to preset rules such as segmented construction sequence, tire position capacity limit, and welding process requirements, matches and dynamically adjusts the segmented construction process and tire position usage in real time.

5. The LNG ship section construction dynamic allocation full-process management system according to claim 1, characterized in that: The status monitoring module receives the execution data of the fetal position allocation scheme generated by the fetal position dynamic allocation module and the actual status data of the fetal position reported by the on-site sensors. It comprehensively and in real time displays the occupancy status of each fetal position, the construction progress of each segment, and the equipment operation status in a visual format, as well as the segment information and remaining working hours currently carried by each fetal position, enabling full-cycle fetal position status traceability and monitoring management.

6. The LNG ship section construction dynamic allocation full-process management system according to claim 1, characterized in that: The analysis and decision-making module performs in-depth analysis and optimization decisions on the entire process of LNG ship segment construction. Based on the preset LNG ship construction specifications and tire position allocation rules, it generates corresponding analysis reports and scheduling optimization suggestions. Through a visual decision-making dashboard, it outputs tire position reassignment suggestions, progress warning information and process parameter adjustment schemes to the staff.

7. The LNG ship section construction dynamic allocation full-process management system according to claim 1, characterized in that: The data storage management module adopts a distributed relational database. Based on the modification and query of tire position and segment association data, it uniformly modifies the tire position data of batch segment construction. The modified data is automatically updated to the database, and the relevant tire position allocation scheme is updated synchronously. This enables the structured storage and unified management of all data in the entire process of dynamic allocation of tire positions in LNG ship segment construction.

8. A method for managing the entire process of dynamic allocation of space in LNG ship sectional construction, characterized in that: This method uses the LNG ship section construction dynamic allocation full-process management system according to any one of claims 1-7, and the steps of the method are as follows: (1) Collect and process real-time status data of fetal position, segmentation and equipment and information system data. Use Excel spreadsheet tool and ETL script to classify and organize the extracted data into fetal position-specific parameters and segmentation-common parameters. Store the processed data in the system database according to the classification structure. Subsequent modules will query and manage the data in a unified manner. (2) Receive standardized data, and dynamically manage the task queue of the sections to be built and their process constraints according to the tire position allocation parameters and the section process information, so as to realize the rapid and accurate control of the LNG ship section construction process; (3) Based on the task queue and real-time resource status, and based on the preset rules of segmented construction sequence, jig capacity limit, and welding process requirements, the segmented construction process and jig usage are matched and dynamically adjusted in real time. (4) Receive the execution data of the tire position allocation plan and the actual status data of the tire position reported by the field sensors. In a visual form, comprehensively and in real time display the occupancy status of each tire position, the construction progress of each segment and the equipment operation status, the segment information currently carried by each tire position and the remaining working hours, and the tire position status traceability and monitoring management throughout the entire cycle. (5) Conduct in-depth analysis and optimization decision-making on the entire process of LNG ship segment construction. Based on the preset LNG ship construction specifications and tire position allocation rules, generate corresponding analysis reports and scheduling optimization suggestions. Through the visual decision-making dashboard, output tire position reassignment suggestions, progress warning information and process parameter adjustment schemes to the staff. (6) A distributed relational database is adopted. Based on the modification and query of the tire position and segment association data, the tire position data of batch segment construction is uniformly modified. The modified data is automatically updated to the database and the relevant tire position allocation scheme is updated synchronously. All data in the entire process of dynamic allocation of LNG ship segment construction tire positions is structured and uniformly managed.

Images