Process equipment type selection method, device and equipment for ship block manufacturing and medium

Abstract

The invention relates to a process equipment model selection method, device and equipment for ship block manufacturing and a medium. According to the method, production demand prediction, site current situation analysis, production takt extraction, process equipment parameter analysis and cost dynamic evaluation and score screening can be carried out, so that the whole process scientization and datamation of equipment model selection are realized, the process equipment demand of the shipyard segmented manufacturing process can be accurately matched, the production layout is optimized, and the production efficiency is improved. Equipment redundancy or insufficient performance is avoided, cutting and manufacturing precision and efficiency are improved, production capacity is improved fundamentally, energy consumption and maintenance cost are reduced, and product quality stability is enhanced. By accurately matching process equipment and production requirements and optimizing the production process, the segmented manufacturing production capacity and production efficiency can be improved, the production cost can be reduced, the stability of the product quality is improved, the process equipment with high intelligent and automatic degree is introduced, and upgrading and updating of the shipyard production technology are promoted.

Description

Selection methods, devices, equipment, and media for ship section fabrication process equipment Technical Field

[0001] This application relates to the field of shipbuilding technology, and in particular to a method, apparatus, equipment and medium for selecting process equipment for ship section manufacturing. Background Technology

[0002] The technology of ship section fabrication has developed rapidly. Under the modern shipbuilding model, the production system for ship section fabrication has become more complex and the processes more diversified. To improve the efficiency of ship section fabrication, the transformation and upgrading of shipyard section manufacturing workshops is imperative. As the core production resource for section fabrication, the scientific and rational nature of its transformation, upgrading, and selection directly affects the construction efficiency of section fabrication, and consequently impacts the shipyard's economic benefits and market competitiveness. Currently, there are significant shortcomings in the industry's methods for transforming, upgrading, and selecting ship section fabrication process equipment. Most shipyards rely on subjective experience and lack precise analysis of actual production needs, resulting in selected equipment that is difficult to match the production rhythm and process flow, causing inconsistencies in production processes. Furthermore, selecting process equipment based solely on simple parameter comparisons ignores key factors such as the equipment's performance under actual working conditions, operational stability, and long-term cost consumption.

[0003] Taking cutting processes as an example, some shipyards, failing to fully consider the diversity of shipbuilding materials and the complex requirements of cutting processes, select cutting equipment whose power and precision are mismatched. This not only wastes energy and exacerbates equipment wear and tear but also results in substandard cutting quality, necessitating secondary processing and severely impacting production efficiency and product quality. This extensive selection method has become a bottleneck restricting shipyards from improving production efficiency and reducing costs. Therefore, developing a scientific, systematic, and precise method for selecting equipment for shipyard section fabrication processes is urgently needed.

[0004] In view of the above situation, constructing a scientific and reasonable method for the transformation, upgrading and process equipment selection of ship sections can improve the efficiency of ship section manufacturing, the economic benefits of shipyards and their market competitiveness. Summary of the Invention

[0005] Based on this, a method, apparatus, equipment and medium for selecting process equipment for ship section manufacturing is provided to solve the technical problems of mismatch between process equipment power and precision, energy waste and unstable quality caused by the lack of systematic evaluation of production needs, equipment performance and process matching in traditional shipyards during section manufacturing.

[0006] On the one hand, a method for selecting process equipment for ship section manufacturing is provided. This method includes: forecasting production demand to determine quantitative indicators of the section manufacturing production scale; analyzing the current status of the production site to obtain configuration data and production capacity data for the process equipment in the section manufacturing department; performing process analysis on each intermediate product production stage based on the section process diagram and production site layout to obtain the production cycle time of the intermediate products; and, based on the production cycle time of the intermediate products and in conjunction with the section production plan, performing quantity analysis on each process of shipyard section manufacturing to obtain the annual, monthly, or daily quantity requirements of intermediate products for each process, and determining the technical parameters of process equipment and personnel. Demand analysis; based on the quantitative indicators of the segmented manufacturing production scale, the production cycle time, and the process equipment of the segmented manufacturing department, combined with the production site layout and lifting equipment, a production workshop simulation is conducted to verify whether the production demand is met; when the production demand is met, based on the configuration data of the process equipment of the segmented manufacturing department that meets the production demand, the production cycle time, and the technical parameters of the process equipment, a cost dynamic analysis method is used to calculate the full life cycle cost of the process equipment; a process equipment scoring table is constructed, and based on the process equipment scoring table and the full life cycle cost of the process equipment, a comprehensive analysis of process equipment selection is conducted to determine the type of process equipment.

[0007] In one embodiment, the step of forecasting production demand and determining quantitative indicators for the scale of segmented manufacturing includes: forecasting production demand, calculating the annual target tonnage of steel processing, estimating the daily processing tonnage of steel, and calculating the monthly and daily processing tonnage of steel plates and sections according to the weight ratio of steel plates and sections; determining the proportion of each production task based on the proportion of internal components, flat plates, curved outer plates, and sheet metal sheets, and determining the required quantity of each type of cutting equipment; obtaining the annual and monthly number of sections and the production tonnage of each section manufacturing department according to the segmentation method of ship segmented manufacturing, and determining the quantitative indicators for the scale of segmented manufacturing based on the annual and monthly number of sections and the production tonnage of each section manufacturing department.

[0008] In one embodiment, the step of conducting a production site status analysis to obtain configuration data of process equipment and production capacity data for the segmented manufacturing department includes: conducting a production site status analysis, analyzing the production area division map of the segmented manufacturing department, the division of production management levels, the number of production management and construction personnel, the production process and manufacturing method of each segmented manufacturing process, and obtaining configuration data of process equipment and production capacity data for the segmented manufacturing department; wherein the production capacity data includes at least: the number of pre-processed steel plates per day, the number of steel sections, the number of meters of steel plates cut, the number of steel sections cut, the number of processed parts, and the number of cold and hot processed plates.

[0009] In one embodiment, the step of performing process analysis on each intermediate product production stage based on the segmented process diagram and production site layout to obtain the production cycle time of the intermediate products includes: performing process analysis on each intermediate product production stage based on the segmented process diagram and production site layout; obtaining the division of intermediate products for each process before the segmented manufacturing workshop renovation and the future intermediate product planning; decomposing the production process of intermediate products for each process in segmented manufacturing; further breaking down the segmented manufacturing processes; performing process analysis on each intermediate product production stage; drawing product production process flow diagrams and production site layout diagrams; and obtaining the production cycle time of intermediate products based on capacity requirements and work shifts, combined with the configuration data of the process equipment and production capacity data of the segmented manufacturing department.

[0010] In one embodiment, the calculation of the full life-cycle cost of process equipment using the dynamic cost analysis method includes: obtaining the equipment body price, transportation insurance cost, installation and commissioning cost, import tariffs and value-added tax of various types of process equipment, and calculating the initial purchase cost; calculating energy consumption cost based on the power and actual operating time of various types of process equipment; calculating maintenance cost based on the maintenance cycle, maintenance items and cost standards of various types of process equipment; calculating the replacement frequency and price of vulnerable parts of various types of process equipment and calculating the replacement cost of vulnerable parts; establishing a dynamic cost analysis model based on the initial purchase cost, the energy consumption cost, the maintenance cost, the replacement cost of vulnerable parts and the equipment idle cost, and evaluating the cost consumption of various types of process equipment throughout their entire life cycle based on the dynamic cost analysis model.

[0011] In one embodiment, when verifying whether production needs are met, the method further includes: if production needs are not met, rearranging the production process flow, performing analysis of process equipment technical parameters and personnel requirements to obtain new production cycle time and process equipment technical parameters, and using a cost dynamic analysis method to recalculate the full life cycle cost of the process equipment based on the new production cycle time and process equipment technical parameters combined with the configuration data of the process equipment in the segmented manufacturing department.

[0012] In one embodiment, the construction of the process equipment scoring table involves a comprehensive analysis of process equipment selection based on the scoring table and the full life-cycle cost of the process equipment to determine the type of process equipment. This includes: constructing a process equipment scoring table using technical indicators, durability, energy consumption, production capacity, purchase cost, and investment payback period as scoring factors; comprehensively scoring various types of process equipment based on the scoring table; ranking various types of process equipment in descending order of comprehensive score; selecting the process equipment with the highest comprehensive score and all indicators meeting the basic production requirements as the preferred device; and selecting the type of the preferred device.

[0013] On the other hand, a process equipment selection device for ship section manufacturing is provided. The device includes: a production demand forecasting module for forecasting production demand and determining quantitative indicators of the section manufacturing production scale; a production site status analysis module for analyzing the current status of the production site and obtaining configuration data and production capacity data of the process equipment in the section manufacturing department; an intermediate product production process analysis module for analyzing the process of each intermediate product production stage based on the section process diagram and production site layout to obtain the production cycle time of the intermediate products; and a material quantity requirement and technical parameter analysis module for analyzing the material quantity of each process in the shipyard section manufacturing based on the production cycle time of the intermediate products and in conjunction with the section production plan, obtaining the annual, monthly, or daily material quantity requirements of the intermediate products for each process, and performing process selection. The system includes: equipment technical parameters and personnel requirements analysis; a production workshop simulation module, used to simulate the production workshop based on the quantitative indicators of the segmented manufacturing production scale, the production cycle time, and the process equipment of the segmented manufacturing department, combined with the production site layout and lifting equipment, to verify whether production needs are met; a cost dynamic analysis module, used to calculate the full life cycle cost of process equipment using a cost dynamic analysis method when production needs are met, based on the configuration data of the process equipment of the segmented manufacturing department that meets production needs, the production cycle time, and the technical parameters of the process equipment; and a process equipment selection comprehensive analysis module, used to construct a process equipment scoring table, and based on the process equipment scoring table and the full life cycle cost of process equipment, to conduct a comprehensive analysis of process equipment selection and determine the type of process equipment.

[0014] In another aspect, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the process equipment selection method for ship section fabrication.

[0015] In another aspect, a computer-readable storage medium is provided, on which a computer program is stored, which, when executed by a processor, implements the steps of a method for selecting process equipment for ship section fabrication.

[0016] The aforementioned methods, devices, equipment, and media for selecting process equipment in ship section fabrication, from production demand forecasting, site status analysis, production cycle extraction, and process equipment parameter analysis to dynamic cost assessment and scoring, achieve a scientific and data-driven entire process for equipment selection. This enables precise matching of the process equipment requirements for shipyard section fabrication, optimizes production layout, avoids equipment redundancy or insufficient performance, improves cutting and manufacturing precision and efficiency, fundamentally enhances production capacity, reduces energy consumption and maintenance costs, and strengthens product quality stability. By precisely matching process equipment with production needs and optimizing production processes, section fabrication production capacity and efficiency can be improved, production costs reduced, and product quality stability enhanced. Introducing highly intelligent and automated process equipment also drives the upgrading of shipyard production technology. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 is a flowchart illustrating the process equipment selection method for ship section fabrication in one embodiment of this application; Figure 2 is a logic diagram illustrating the process equipment selection method for ship section fabrication in one embodiment of this application; Figure 3 is a structural block diagram illustrating the process equipment selection device for ship section fabrication in one embodiment of this application; Figure 4 is an internal structural diagram illustrating the computer equipment in one embodiment of this application. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0020] The technology of ship section manufacturing has developed rapidly. Under the modern shipbuilding model, the production system of ship section manufacturing has become more complex and the process flow more diversified. In order to improve the efficiency of ship section manufacturing, it is necessary to upgrade and transform the shipyard section manufacturing workshop. As the core production resource of section manufacturing, the scientific and rational nature of its transformation, upgrading and selection directly affects the construction efficiency of section manufacturing, and thus affects the shipyard's economic benefits and market competitiveness. Therefore, in one embodiment, as shown in Figures 1 and 2, a method for selecting process equipment for ship section manufacturing is provided, including the following steps: Step S1, conduct production demand forecasting to determine the quantitative indicators of section manufacturing production scale; Step S2, conduct production site status analysis to obtain the configuration data and production capacity data of process equipment in the section manufacturing department; Step S3, according to the section process diagram and production site layout, conduct process analysis on each intermediate product production link to obtain the production cycle of intermediate products; Step S4, based on the production cycle of intermediate products and combined with the section production plan, analyze the process of each section manufacturing workshop in the shipyard. The process involves several steps: Step S5, Step S6, Step S7, Step S8, Step S9, Step S10, Step S21, Step S32, Step S43, Step S54, Step S65, Step S76, Step S87, Step S88, Step S9 ...

[0021] Specifically, from production demand forecasting, site status analysis, production cycle time extraction, and process equipment parameter analysis to dynamic cost assessment and scoring, the entire equipment selection process is made scientific and data-driven. This enables precise matching of the process equipment requirements for shipyard section manufacturing, optimizing production layout, avoiding equipment redundancy or insufficient performance, improving cutting and manufacturing precision and efficiency, fundamentally enhancing production capacity, reducing energy consumption and maintenance costs, and strengthening product quality stability. By precisely matching process equipment with production needs and optimizing production processes, section manufacturing capacity and efficiency can be improved, production costs reduced, and product quality stability enhanced. The introduction of highly intelligent and automated process equipment also drives the upgrading of shipyard production technology.

[0022] Furthermore, in step S1, based on the shipyard's representative ship type elements and production plan for the next 3-5 years, the annual target tonnage for steel processing can be calculated. Using a 300-day work week per year, the daily processing tonnage can be estimated. Specifically, estimating based on 90% steel plates and 10% structural steel, the monthly and daily processing tonnage for steel plates and structural steel can be obtained, thus determining the daily capacity requirements for steel plate cutting equipment and structural steel cutting equipment. Further, we can estimate the proportion of different production tasks based on the ratios of 50%, 30%, 10%, and 10% for internal components, straight plates, curved outer plates, and sheet metal sheets, using this as a basis to estimate the demand for different types of cutting equipment. This yields the annual and monthly section quantity and production tonnage for the section manufacturing department, thereby determining the quantitative indicators for the section manufacturing production scale.

[0023] Furthermore, in step S2, a current status analysis of the production site is conducted. This analysis of the current status of the section manufacturing department provides a detailed understanding of the production area and division of production zones, the management hierarchy, and the production organization methods. It also obtains the number of production management and construction personnel, and understands the production processes for each section fabrication step, including pretreatment, cutting, sub-assembly, jig placement, and production logistics. The production organization methods and fabrication patterns for different ship types and section types are also understood. A production area division map of the section manufacturing department, the division of production management levels, the number of production management and construction personnel, and familiarity with the production processes and methods for each section fabrication step are obtained. Simultaneously, the configuration of process equipment and production capacity data for the section manufacturing department are understood, including: the daily number of pretreated steel plates, the number of steel sections, the number of meters of steel plates cut, the number of steel sections cut, the number of processed parts, and the number of hot and cold processed plates.

[0024] Furthermore, in step S3, the production process flow is drawn: based on the segmented process diagram and production site layout, the division of intermediate products in each process before the segmented manufacturing workshop transformation and the future planning of intermediate products are understood. The process flow is drawn in detail, the production process of intermediate products in each process of segmented manufacturing is finely decomposed, the segmented manufacturing process is further broken down, the process analysis of each intermediate product production link is carried out, and the product production process flow diagram and site layout diagram are drawn. Based on capacity demand and work shifts, the production rhythm of intermediate products is planned. The process equipment and turnover site should be consistent with the production rhythm of intermediate products, with product flow as the core.

[0025] Furthermore, in step S4, process equipment technical parameters and personnel requirements analysis are performed. Based on the production cycle time of intermediate products, the working time of each workstation in the production workshop is set. The working time is calculated in hours (H), with 8 hours as one shift and 300 working days as the calculation. Combined with the segmented production plan, the material quantity analysis of each process of the shipyard's segmented manufacturing is performed to obtain the annual, monthly, or daily material quantity requirements of intermediate products in each process, and then process equipment technical parameters and personnel requirements analysis are performed.

[0026] Furthermore, in step S5, a production workshop process simulation verification is performed: based on the obtained production cycle time and process equipment, combined with the site layout and lifting equipment, a production workshop simulation is conducted to verify the production status of the production workshop process route. The production workshop simulation mainly focuses on the production cycle time of the process equipment, while also taking into account the flow of intermediate products on the production site. If the production requirements are met, then the process flow and equipment technical parameters selection meet the production requirements; if not, it is necessary to re-lay out the production process flow, conduct process equipment parameter and personnel requirement analysis, etc.

[0027] Furthermore, in step S6, a full life-cycle cost calculation of the process equipment is performed, detailing all expenses incurred during the equipment procurement process, including the price of the equipment itself, transportation and insurance costs, installation and commissioning costs, import duties and value-added tax, etc., to ensure the accuracy of the initial purchase cost calculation. Dynamic cost analysis is then conducted: a dynamic cost analysis model is established, comprehensively considering energy consumption costs (calculated based on equipment power and actual operating time), maintenance costs (estimated based on equipment maintenance cycles, maintenance items, and cost standards), replacement costs of vulnerable parts (statistical analysis of replacement frequency and purchase price of vulnerable parts), and equipment idle costs, to assess the cost consumption of the equipment throughout its entire service life. Further, in step S7, a comprehensive analysis of process equipment selection is performed, ranking and prioritizing candidate equipment: a process equipment scoring table is constructed based on technical indicators, durability, energy consumption, production capacity, purchase cost, and investment payback period. A comprehensive score is then calculated, and candidate equipment is ranked in descending order of the comprehensive score. The equipment with the highest comprehensive score and all indicators meeting basic production requirements is selected as the preferred option.

[0028] In this embodiment, the step of forecasting production demand and determining the quantitative indicators of the segmented manufacturing production scale includes: forecasting production demand, calculating the annual target tonnage of steel processing, estimating the daily processing tonnage of steel, and calculating the monthly and daily processing tonnage of steel plates and sections according to the weight ratio of steel plates and sections; determining the proportion of each production task based on the proportion of internal components, flat plates, curved outer plates, and sheet metal sheets, and determining the required quantity of each type of cutting equipment; obtaining the annual and monthly number of sections and the production tonnage of each section manufacturing department according to the segmentation method of ship segmented manufacturing, and determining the quantitative indicators of the segmented manufacturing production scale based on the annual and monthly number of sections and the production tonnage of each section manufacturing department.

[0029] This process involves accurately predicting the annual, monthly, and daily processing volume of steel, and combining this with the proportional distribution of different plates and components to obtain the scientifically optimal number of various cutting equipment. This process transforms the segmented production scale into quantitative indicators, providing objective data support for subsequent equipment selection, achieving a precise match between production scale and equipment capacity, thereby reducing the risk of equipment idleness or insufficient capacity.

[0030] Specifically, based on the shipyard's representative ship type elements and production plan for the next 3-5 years, the annual target tonnage for steel processing can be calculated. Assuming 300 working days per year, the daily processing tonnage can be estimated. Using a weight estimate of 90% steel plates and 10% structural steel, the monthly and daily processing tonnage for steel plates and structural steel can be determined, thus deriving the daily capacity requirements for steel plate cutting equipment and structural steel cutting equipment. Furthermore, we can further estimate the proportion of different production tasks based on the ratios of internal components, straight plates, curved outer plates, and sheet metal sheets (50%, 30%, 10%, 10%), using this as a basis to estimate the demand for different types of cutting equipment.

[0031] In this embodiment, the step of conducting a production site status analysis to obtain the configuration data of the process equipment and production capacity data of the segmented manufacturing department includes: conducting a production site status analysis, analyzing the production area division map of the segmented manufacturing department, the division of production management levels, the number of production management and construction personnel, the production process and manufacturing method of each segmented manufacturing process, and obtaining the configuration data of the process equipment and production capacity data of the segmented manufacturing department; wherein the production capacity data includes at least: the number of pre-processed steel plates per day, the number of steel sections, the number of meters of steel plates cut, the number of steel sections cut, the number of processed parts, and the number of cold and hot processed plates.

[0032] This system analyzes production area divisions, management levels, and personnel structure to obtain accurate data on current process equipment configurations and production capacity, providing a comprehensive understanding of production resource distribution. This analysis offers a scientific basis for subsequent process optimization and equipment layout, ensuring that selected solutions better suit actual production conditions, guaranteeing the feasibility and effectiveness of equipment upgrades, and promoting capacity release and operational efficiency improvement.

[0033] In this embodiment, the step of performing process analysis on each intermediate product production stage based on the segmented process diagram and production site layout to obtain the production cycle time of the intermediate products includes: performing process analysis on each intermediate product production stage based on the segmented process diagram and production site layout; obtaining the division of intermediate products for each process before the segmented manufacturing workshop renovation and the future intermediate product planning; decomposing the production process of intermediate products for each process in segmented manufacturing; further breaking down the segmented manufacturing processes; performing process analysis on each intermediate product production stage; drawing product production process flow diagrams and production site layout diagrams; and obtaining the production cycle time of intermediate products based on capacity requirements and work shifts, combined with the configuration data of the process equipment and production capacity data of the segmented manufacturing department.

[0034] This method involves decomposing the production process of intermediate products and analyzing the cycle time, combining this with existing equipment performance and capacity data to accurately calculate the production rhythm of each process. This reveals capacity mismatches in the process, providing a basis for equipment selection and process optimization, resulting in a more balanced and coordinated production cycle, smoother production processes, and maximized resource utilization, thereby improving overall production efficiency and cycle time control accuracy.

[0035] In this embodiment, the calculation of the full life cycle cost of process equipment using the dynamic cost analysis method includes: obtaining the equipment body price, transportation insurance cost, installation and commissioning cost, import tariffs and value-added tax of various types of process equipment, and calculating the initial purchase cost; calculating energy consumption cost based on the power and actual operating time of various types of process equipment; calculating maintenance cost based on the maintenance cycle, maintenance items and cost standards of various types of process equipment; calculating the replacement frequency and price of vulnerable parts of various types of process equipment, and calculating the replacement cost of vulnerable parts; establishing a dynamic cost analysis model based on the initial purchase cost, the energy consumption cost, the maintenance cost, the replacement cost of vulnerable parts and the equipment idle cost, and evaluating the cost consumption of various types of process equipment throughout their entire life cycle based on the dynamic cost analysis model.

[0036] This method involves introducing a dynamic cost analysis model to quantitatively evaluate the entire process of equipment, from procurement and energy consumption to maintenance and replacement of vulnerable parts, thus establishing a full life-cycle cost consumption model. This approach helps decision-makers assess the merits of equipment from an economic perspective, achieving a balance between technical indicators and economic benefits, avoiding the pitfall of selecting "low-priced, high-consumption" equipment, thereby effectively reducing total cost of ownership and improving return on investment.

[0037] In this embodiment, when verifying whether production needs are met, the process further includes: if production needs are not met, re-arranging the production process flow, performing analysis of process equipment technical parameters and personnel requirements to obtain new production cycle time and process equipment technical parameters, and using a cost dynamic analysis method to recalculate the full life cycle cost of the process equipment based on the new production cycle time and process equipment technical parameters combined with the configuration data of the process equipment in the segmented manufacturing department.

[0038] By establishing a simulation verification and dynamic adjustment mechanism, the system automatically triggers process flow re-layout and parameter recalculation when simulations fail to meet production requirements, achieving closed-loop optimization of the selection scheme. This mechanism ensures that the final equipment type perfectly matches the production cycle and capacity targets, enhancing the adaptability and scientific nature of the selection method and guaranteeing the effective implementation of the upgrade and transformation plan.

[0039] In this embodiment, the construction of the process equipment scoring table, combined with the process equipment's full life-cycle cost, is used to conduct a comprehensive analysis of process equipment selection to determine the type of process equipment. This includes: constructing a process equipment scoring table using technical indicators, durability, energy consumption, production capacity, purchase cost, and investment payback period as scoring factors; comprehensively scoring various types of process equipment based on the scoring table; ranking various types of process equipment in descending order of comprehensive score; selecting the process equipment with the highest comprehensive score and all indicators meeting the basic production requirements as the preferred device; and selecting the type of the preferred device.

[0040] This method involves constructing a scoring system centered on technical indicators, energy consumption, durability, production capacity, procurement costs, and payback period to quantitatively and comprehensively evaluate various types of equipment. This approach achieves standardization and objectivity in equipment selection and evaluation, enabling the rapid identification of equipment types that are optimal in both technical adaptability and economic efficiency. This leads to the optimal selection of equipment configurations and promotes the intelligent, automated, and modern upgrading of shipyard production.

[0041] This application establishes a systematic and quantitative method for selecting equipment for ship section manufacturing processes, integrating production forecasting, process analysis, simulation verification, and cost assessment. This transforms the selection process from "experience-based decision-making" to "data-driven" methods. Taking cutting processes as an example, it effectively solves problems such as inaccurate equipment selection, high energy consumption, and unstable quality, thereby improving production efficiency, reducing costs, enhancing quality stability, and promoting the upgrading of shipyards towards intelligence, efficiency, and green practices.

[0042] The aforementioned method for selecting process equipment for ship section fabrication achieves a scientific and data-driven process throughout the entire equipment selection process, from production demand forecasting, site status analysis, production cycle extraction, and process equipment parameter analysis to dynamic cost assessment and scoring. This method accurately matches the process equipment requirements of the shipyard's section fabrication operations, optimizes production layout, avoids equipment redundancy or insufficient performance, improves cutting and manufacturing precision and efficiency, fundamentally enhances production capacity, reduces energy consumption and maintenance costs, and strengthens product quality stability. By accurately matching process equipment with production needs and optimizing production processes, it is possible to improve section fabrication production capacity and efficiency, reduce production costs, and enhance product quality stability. Furthermore, the introduction of highly intelligent and automated process equipment promotes the upgrading of shipyard production technology.

[0043] In one embodiment, as shown in Figure 3, a process equipment selection device 10 for ship section manufacturing is provided, including: a production demand forecasting module 1, a production site status analysis module 2, an intermediate product production process analysis module 3, a material quantity demand and technical parameter analysis module 4, a production workshop simulation module 5, a cost dynamic analysis module 6, and a process equipment selection comprehensive analysis module 7.

[0044] The production demand forecasting module 1 is used to forecast production demand and determine quantitative indicators of the scale of segmented manufacturing.

[0045] The production site status analysis module 2 is used to perform production site status analysis and obtain configuration data of process equipment and production capacity data of segmented manufacturing departments.

[0046] The intermediate product production process analysis module 3 is used to perform process analysis on each intermediate product production link according to the segmented process diagram and production site layout, and obtain the production cycle of the intermediate product.

[0047] The material quantity demand and technical parameter analysis module 4 is used to analyze the material quantity of each process of shipyard segment manufacturing based on the production cycle of intermediate products and in conjunction with the segmented production plan, to obtain the annual, monthly or daily material quantity demand of intermediate products in each process, and to analyze the technical parameters of process equipment and personnel requirements.

[0048] The production workshop simulation module 5 is used to simulate the production workshop based on the quantitative indicators of the segmented manufacturing production scale, the production cycle and the process equipment of the segmented manufacturing department, combined with the production site layout and lifting equipment, to verify whether the production needs are met.

[0049] The cost dynamic analysis module 6 is used to calculate the full life cycle cost of the process equipment based on the configuration data of the process equipment in the segmented manufacturing department that meets the production needs, the production cycle time, and the technical parameters of the process equipment, using a cost dynamic analysis method. The process equipment selection comprehensive analysis module 7 is used to construct a process equipment scoring table, and to perform a comprehensive analysis of process equipment selection based on the process equipment scoring table and the full life cycle cost of the process equipment to determine the type of process equipment.

[0050] In this embodiment, the step of forecasting production demand and determining the quantitative indicators of the segmented manufacturing production scale includes: forecasting production demand, calculating the annual target tonnage of steel processing, estimating the daily processing tonnage of steel, and calculating the monthly and daily processing tonnage of steel plates and sections according to the weight ratio of steel plates and sections; determining the proportion of each production task based on the proportion of internal components, flat plates, curved outer plates, and sheet metal sheets, and determining the required quantity of each type of cutting equipment; obtaining the annual and monthly number of sections and the production tonnage of each section manufacturing department according to the segmentation method of ship segmented manufacturing, and determining the quantitative indicators of the segmented manufacturing production scale based on the annual and monthly number of sections and the production tonnage of each section manufacturing department.

[0051] In this embodiment, the step of conducting a production site status analysis to obtain the configuration data of the process equipment and production capacity data of the segmented manufacturing department includes: conducting a production site status analysis, analyzing the production area division map of the segmented manufacturing department, the division of production management levels, the number of production management and construction personnel, the production process and manufacturing method of each segmented manufacturing process, and obtaining the configuration data of the process equipment and production capacity data of the segmented manufacturing department; wherein the production capacity data includes at least: the number of pre-processed steel plates per day, the number of steel sections, the number of meters of steel plates cut, the number of steel sections cut, the number of processed parts, and the number of cold and hot processed plates.

[0052] In this embodiment, the step of performing process analysis on each intermediate product production stage based on the segmented process diagram and production site layout to obtain the production cycle time of the intermediate products includes: performing process analysis on each intermediate product production stage based on the segmented process diagram and production site layout; obtaining the division of intermediate products for each process before the segmented manufacturing workshop renovation and the future intermediate product planning; decomposing the production process of intermediate products for each process in segmented manufacturing; further breaking down the segmented manufacturing processes; performing process analysis on each intermediate product production stage; drawing product production process flow diagrams and production site layout diagrams; and obtaining the production cycle time of intermediate products based on capacity requirements and work shifts, combined with the configuration data of the process equipment and production capacity data of the segmented manufacturing department.

[0053] In this embodiment, the calculation of the full life cycle cost of process equipment using the dynamic cost analysis method includes: obtaining the equipment body price, transportation insurance cost, installation and commissioning cost, import tariffs and value-added tax of various types of process equipment, and calculating the initial purchase cost; calculating energy consumption cost based on the power and actual operating time of various types of process equipment; calculating maintenance cost based on the maintenance cycle, maintenance items and cost standards of various types of process equipment; calculating the replacement frequency and price of vulnerable parts of various types of process equipment, and calculating the replacement cost of vulnerable parts; establishing a dynamic cost analysis model based on the initial purchase cost, the energy consumption cost, the maintenance cost, the replacement cost of vulnerable parts and the equipment idle cost, and evaluating the cost consumption of various types of process equipment throughout their entire life cycle based on the dynamic cost analysis model.

[0054] In this embodiment, when verifying whether production needs are met, the process further includes: if production needs are not met, re-arranging the production process flow, performing analysis of process equipment technical parameters and personnel requirements to obtain new production cycle time and process equipment technical parameters, and using a cost dynamic analysis method to recalculate the full life cycle cost of the process equipment based on the new production cycle time and process equipment technical parameters combined with the configuration data of the process equipment in the segmented manufacturing department.

[0055] In this embodiment, the construction of the process equipment scoring table, combined with the process equipment's full life-cycle cost, is used to conduct a comprehensive analysis of process equipment selection to determine the type of process equipment. This includes: constructing a process equipment scoring table using technical indicators, durability, energy consumption, production capacity, purchase cost, and investment payback period as scoring factors; comprehensively scoring various types of process equipment based on the scoring table; ranking various types of process equipment in descending order of comprehensive score; selecting the process equipment with the highest comprehensive score and all indicators meeting the basic production requirements as the preferred device; and selecting the type of the preferred device.

[0056] The aforementioned equipment selection system for ship section manufacturing achieves a scientific and data-driven process throughout the entire equipment selection process, from production demand forecasting, site status analysis, production cycle extraction, and equipment parameter analysis to dynamic cost assessment and scoring. This system accurately matches the equipment requirements of the shipyard's section manufacturing operations, optimizes production layout, avoids equipment redundancy or insufficient performance, and improves the precision and efficiency of cutting and manufacturing. Ultimately, this enhances production capacity, reduces energy consumption and maintenance costs, and strengthens product quality stability. By precisely matching equipment with production needs and optimizing the production process, the system can improve section manufacturing capacity and efficiency, reduce production costs, and enhance product quality stability. Furthermore, the introduction of highly intelligent and automated equipment drives the upgrading of shipyard production technology.

[0057] Specific limitations regarding the selection of process equipment for ship section fabrication can be found in the above-mentioned limitations on the selection method for process equipment in ship section fabrication, and will not be repeated here. Each module in the aforementioned selection device for process equipment in ship section fabrication can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device in hardware form, or stored in the memory of a computer device in software form, so that the processor can call and execute the operations corresponding to each module.

[0058] In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram is shown in Figure 4. The computer device includes a processor, memory, a network interface, and a database connected via a system bus. The processor provides computing and control capabilities. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The database stores selection data for process equipment in ship section fabrication. The network interface communicates with external terminals via a network connection. When the computer program is executed by the processor, it implements a method for selecting process equipment for ship section fabrication.

[0059] Those skilled in the art will understand that the structure shown in Figure 4 is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or may combine certain components, or may have different component arrangements.

[0060] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it performs the following steps: forecasting production demand to determine quantitative indicators of the segmented manufacturing production scale; analyzing the current status of the production site to obtain configuration data of the process equipment and production capacity data of the segmented manufacturing department; performing process analysis on each intermediate product production stage based on the segmented process diagram and production site layout to obtain the production cycle time of the intermediate products; and based on the production cycle time of the intermediate products, performing quantity analysis on each process of the shipyard's segmented manufacturing based on the segmented production plan to obtain the annual, monthly, or per-stage quantity of intermediate products for each process. Daily material requirements are analyzed, including process equipment technical parameters and personnel requirements. Based on the quantitative indicators of the segmented manufacturing production scale, the production cycle time, and the process equipment of the segmented manufacturing departments, a production workshop simulation is conducted using the production site layout and lifting equipment to verify whether production requirements are met. If production requirements are met, the full life-cycle cost of the process equipment is calculated using a dynamic cost analysis method, based on the configuration data of the process equipment in the segmented manufacturing departments that meet production requirements, the production cycle time, and the process equipment technical parameters. A process equipment scoring table is constructed, and a comprehensive analysis of process equipment selection is conducted based on the scoring table and the full life-cycle cost of the process equipment to determine the type of process equipment.

[0061] For specific limitations on the steps a processor takes when executing a computer program, please refer to the limitations on the selection of process equipment for ship section fabrication mentioned above, which will not be repeated here.

[0062] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When executed by a processor, the computer program performs the following steps: forecasting production demand to determine quantitative indicators of the segmented manufacturing production scale; analyzing the current status of the production site to obtain configuration data of process equipment and production capacity data for the segmented manufacturing department; performing process analysis on each intermediate product production stage based on the segmented process diagram and production site layout to obtain the production cycle time of the intermediate products; and, based on the production cycle time of the intermediate products and in conjunction with the segmented production plan, performing quantity analysis on each process of the shipyard's segmented manufacturing to obtain the annual, monthly, or daily quantity requirements of intermediate products for each process. Analysis of process equipment technical parameters and personnel requirements; based on the quantitative indicators of the segmented manufacturing production scale, the production cycle time, and the process equipment of the segmented manufacturing department, combined with the production site layout diagram and lifting equipment, a production workshop simulation is conducted to verify whether production requirements are met; when production requirements are met, based on the configuration data of the process equipment of the segmented manufacturing department that meets production requirements, the production cycle time, and the technical parameters of the process equipment, a cost dynamic analysis method is used to calculate the full life cycle cost of the process equipment; a process equipment scoring table is constructed, and based on the process equipment scoring table and the full life cycle cost of the process equipment, a comprehensive analysis of process equipment selection is conducted to determine the type of process equipment.

[0063] For specific limitations on the steps implemented when a computer program is executed by a processor, please refer to the limitations on the selection of process equipment for ship section fabrication mentioned above, which will not be repeated here.

[0064] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0065] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0066] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for selecting process equipment for ship section fabrication, characterized in that, include: Conduct production demand forecasting and determine quantitative indicators for segmented manufacturing production scale; Conduct a current status analysis of the production site to obtain configuration data of process equipment and production capacity data for the segmented manufacturing departments; Based on the segmented process diagram and production site layout, process analysis is performed on each intermediate product production link to obtain the production cycle time of the intermediate products. Based on the production cycle time of intermediate products, and in conjunction with the segmented production plan, a quantity analysis is conducted on each process of shipyard segmented manufacturing to obtain the annual, monthly, or daily quantity requirements of intermediate products for each process. This is followed by an analysis of process equipment technical parameters and personnel requirements. Based on the quantitative indicators of the segmented manufacturing production scale, the production cycle time, and the process equipment of the segmented manufacturing department, a production workshop simulation is performed using the production site layout diagram and lifting equipment to verify whether production requirements are met. If production requirements are met, the full life-cycle cost of the process equipment is calculated using a dynamic cost analysis method, based on the configuration data of the process equipment in the segmented manufacturing department that meets production requirements, the production cycle time, and the process equipment technical parameters. A process equipment scoring table is constructed, and a comprehensive analysis of process equipment selection is conducted based on the scoring table and the full life-cycle cost of the process equipment to determine the type of process equipment.

2. The method for selecting process equipment for ship section fabrication according to claim 1, characterized in that, The process of forecasting production demand and determining quantitative indicators for the scale of segmented manufacturing includes: forecasting production demand, calculating the annual target tonnage of steel processing, estimating the daily processing tonnage of steel, and calculating the monthly and daily processing tonnage of steel plates and sections based on the weight ratio of steel plates to sections; determining the proportion of each production task based on the ratio of internal components, straight plates, curved outer plates, and sheet metal sheets, and determining the required quantity of each type of cutting equipment; obtaining the annual and monthly number of sections and the production tonnage of each section manufacturing department according to the segmentation method of ship segmented manufacturing, and determining the quantitative indicators for the scale of segmented manufacturing based on the annual and monthly number of sections and the production tonnage of each section manufacturing department.

3. The method for selecting process equipment for ship section fabrication according to claim 1, characterized in that, The aforementioned analysis of the current status of the production site, obtaining configuration data of process equipment and production capacity data for the segmented manufacturing department, includes: analyzing the current status of the production site, interpreting the production area division map of the segmented manufacturing department, the division of production management levels, the number of production management and construction personnel, the production process and manufacturing method of each segmented manufacturing process, and obtaining configuration data of process equipment and production capacity data for the segmented manufacturing department; wherein the production capacity data includes at least: the number of pre-processed steel plates, the number of steel sections, the number of meters of steel plates cut, the number of steel sections cut, the number of processed parts, and the number of cold and hot processed plates per day.

4. The method for selecting process equipment for ship section fabrication according to claim 1, characterized in that, The process of analyzing the production process of each intermediate product based on the segmented process diagram and production site layout to obtain the production cycle time of the intermediate products includes: analyzing the production process of each intermediate product based on the segmented process diagram and production site layout; obtaining the division of intermediate products of each process before the segmented manufacturing workshop transformation and the future intermediate product planning; decomposing the production process of intermediate products of each process in segmented manufacturing; further breaking down the segmented manufacturing process; analyzing the production process of each intermediate product production link; and drawing product production process flow diagrams and production site layout diagrams; and obtaining the production cycle time of intermediate products based on capacity requirements and work shifts, combined with the configuration data of process equipment and production capacity data of the segmented manufacturing department.

5. The method for selecting process equipment for ship section fabrication according to claim 1, characterized in that, The method for calculating the life-cycle cost of process equipment using the dynamic cost analysis method includes: obtaining the equipment body price, transportation insurance cost, installation and commissioning cost, and import duties and value-added tax of various types of process equipment to calculate the initial purchase cost; calculating energy consumption costs based on the power and actual operating time of various types of process equipment; calculating maintenance costs based on the maintenance cycle, maintenance items, and cost standards of various types of process equipment; calculating the replacement cost of vulnerable parts based on the replacement frequency and price of vulnerable parts of various types of process equipment; establishing a dynamic cost analysis model based on the initial purchase cost, energy consumption cost, maintenance cost, vulnerable part replacement cost, and equipment idle cost; and evaluating the cost consumption of various types of process equipment throughout their life cycle based on the dynamic cost analysis model.

6. The method for selecting process equipment for ship section fabrication according to claim 1, characterized in that, When verifying whether production needs are met, the process also includes: if production needs are not met, rearranging the production process flow, analyzing the technical parameters of process equipment and personnel requirements to obtain new production cycle time and technical parameters of process equipment, and using dynamic cost analysis methods to recalculate the full life cycle cost of process equipment based on the new production cycle time and technical parameters of process equipment and the configuration data of the process equipment in the segmented manufacturing department.

7. The method for selecting process equipment for ship section fabrication according to claim 1, characterized in that, The process equipment scoring table is constructed, and a comprehensive analysis of process equipment selection is conducted based on the scoring table and the full life cycle cost of the process equipment to determine the type of process equipment. This includes: constructing a process equipment scoring table with technical indicators, durability, energy consumption, production capacity, purchase cost, and investment payback period as scoring factors; comprehensively scoring various types of process equipment based on the scoring table; ranking various types of process equipment in descending order of comprehensive score, and selecting the process equipment with the highest comprehensive score and all indicators meeting the basic production requirements as the preferred device, and selecting the type of the preferred device.

8. A process equipment selection device for ship section fabrication, characterized in that, The device includes: a production demand forecasting module for forecasting production demand and determining quantitative indicators of the segmented manufacturing production scale; a production site status analysis module for analyzing the current status of the production site and obtaining configuration data of process equipment and production capacity data for the segmented manufacturing department; an intermediate product production process analysis module for analyzing the process of each intermediate product production link based on the segmented process diagram and production site layout to obtain the production cycle time of intermediate products; and a material quantity demand and technical parameter analysis module for analyzing the material quantity of each process in the shipyard's segmented manufacturing based on the production cycle time of intermediate products and in conjunction with the segmented production plan, obtaining the annual, monthly, or daily material quantity demand of intermediate products for each process, and analyzing process equipment technical parameters and personnel demand. The production workshop simulation module is used to simulate the production workshop based on the quantitative indicators of the segmented manufacturing production scale, the production cycle time, and the process equipment of the segmented manufacturing department, combined with the production site layout diagram and lifting equipment, to verify whether the production requirements are met. The cost dynamic analysis module is used to calculate the full life cycle cost of the process equipment using a cost dynamic analysis method when the production requirements are met, based on the configuration data of the process equipment of the segmented manufacturing department that meets the production requirements, the production cycle time, and the technical parameters of the process equipment. The process equipment selection comprehensive analysis module is used to construct a process equipment scoring table, and based on the process equipment scoring table and the full life cycle cost of the process equipment, to conduct a comprehensive analysis of process equipment selection and determine the type of process equipment.

9. A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 7.

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