Construction process construction method based on ship construction process management

Abstract

The invention discloses a construction process construction method based on ship construction process management, and relates to the technical field of ship construction. In order to solve the problems that in the prior art, establishment of a product structure tree and a process structure tree cannot provide a visual and effective ship building process for users and process construction personnel, and the accuracy and reliability of data are low. The construction process construction method comprises the following steps that 1, a ship construction scheme is determined; step 2, constructing a ship construction process; step 3, optimizing a construction process; 4, monitoring the construction process in real time; by establishing a ship three-dimensional model, carrying out stress analysis and structure optimization on the model, unnecessary material use is reduced, so that the construction cost is reduced, the weight of a ship body is reduced, the navigation efficiency is improved, potential problems and risks can be found and solved in advance by simulating the ship construction process, delay and accidents in the actual construction process are reduced, and the ship construction efficiency is improved. And the construction efficiency and the safety are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of shipbuilding, and in particular to a construction process building method based on shipbuilding process management. Background Art

[0002] Shipbuilding is a complex system engineering, involving multiple professional fields and complex process flows. Traditional shipbuilding methods often have problems such as low production efficiency, high cost, and difficult quality control. Regarding shipbuilding, a patent application with publication number: CN115759595A discloses a method for constructing and optimizing a shipbuilding process based on a process management system. The method establishes a product structure tree and a process structure tree in the process management system respectively, and realizes synchronization between the product structure tree in CATIA and the product structure tree in the process management system by developing a data interface between CATIA software and the process management system, thereby solving the technical problem of low shipbuilding efficiency. The patent application is characterized by high efficiency, intuitiveness, accuracy, and strong modifiability. When a certain process changes, the construction process data in the process management system will respond quickly to form a new product construction process. Through comparative analysis, a product construction process with the shortest construction cycle and the most reasonable process is formed.

[0003] Although the above patents have realized the construction of the shipbuilding process, the following problems still exist:

[0004] In the existing technology, the establishment of product structure tree and process structure tree cannot provide users and process builders with an intuitive and effective shipbuilding process. The accuracy and reliability of the data are low. Any data errors, omissions or process changes may lead to construction errors, thereby affecting the construction quality and safety of the ship, and it is impossible to accurately predict the shipbuilding process. Summary of the invention

[0005] The purpose of the present invention is to provide a construction process construction method based on ship construction process management, by establishing a three-dimensional model of the ship, simulating the ship construction process, reducing delays and accidents in the actual construction process, improving construction efficiency and safety, enhancing the reliability of performance verification, promoting the close connection between design and construction, improving the scientificity and rationality of decision-making, and meeting diverse needs to solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] The construction process construction method based on ship construction process management includes the following steps:

[0008] Step 1: Determine the ship construction plan: obtain the ship type, specifications, performance requirements and construction standard data, design the ship plan based on the acquired data, and determine the ship construction plan based on the review results of the design plan; at the same time, monitor the abnormality of data retrieval and operation in the process of determining the ship construction plan;

[0009] Combining material supply, cost control and construction schedule in the ship design scheme based on big data analysis technology, generating at least one combination result, and arranging them according to the combination results to predict the optimal combination of material supply, cost control and construction schedule;

[0010] Step 2: Constructing the shipbuilding process: Analyze the shipbuilding plan, extract the shipbuilding process data based on the analysis results, arrange the shipbuilding process in order according to the priority, and construct an operation plan. The operation plan is decomposed into units that can be independently designed, prefabricated and assembled, and a parallel operation strategy is implemented to allow different modules or different stages of the same module to be carried out simultaneously;

[0011] Step 3: Construction process optimization: formulate unified process standards, build a dynamic virtual model of the ship construction process based on the unified process standards, and optimize the ship construction process based on the construction simulation results of the dynamic virtual model;

[0012] Step 4: Real-time supervision of the construction process: Monitor the construction progress in real time, compare the construction progress with the plan, obtain the actual construction process data, compare the actual construction process data with the dynamic virtual model, and dynamically adjust the unfinished ship construction plan based on the comparison results.

[0013] Furthermore, the ship construction plan is determined in step 1, specifically:

[0014] Data collection: Obtain construction standards and specification data based on the ship professional knowledge database, clarify the type and purpose of the ship, and record the specifications and performance requirements of the ship;

[0015] Scheme design: Determine the hull structure according to the ship type and performance requirements, and plan the layout of the power system and various equipment on the ship based on the hull structure;

[0016] Scheme review: Review and evaluate the design scheme based on the historical shipbuilding data in the ship expertise database, convert the review and evaluation results into numerical values, and compare the review and evaluation scores with the preset review thresholds based on the conversion results;

[0017] Scheme determination: The design scheme that is greater than the review threshold will be used as the final ship construction scheme, and a material list, process flow, equipment configuration, cost budget and construction plan will be formulated.

[0018] Furthermore, the program review also includes:

[0019] Obtaining historical ship construction data from a ship expertise database, extracting ship construction completion data, and analyzing the ship construction completion data to determine construction integrity and construction safety;

[0020] Evaluate the risk index and construction feasibility index of the historical ship construction data according to the construction integrity and construction safety;

[0021] The construction plan and specific values ​​of each historical ship construction data are compared with the design plan one by one, and the risk index and construction feasibility index of the design plan are calculated. Review and evaluation are carried out based on the risk index and construction feasibility index.

[0022] Furthermore, in step 1, abnormal monitoring of data retrieval operation in the process of determining the ship construction plan includes:

[0023] Real-time monitoring of the retrieval operation parameters of the construction standard and specification data retrieved from the ship professional knowledge database; wherein the retrieval operation parameters include the retrieval success rate, the number of data retrieval repetitions corresponding to the successful retrieval data, and the data retrieval response time;

[0024] The first operation evaluation parameter corresponding to the data retrieval operation is obtained by using the retrieval success rate and the number of data retrieval repetitions corresponding to the retrieval success data; wherein the first operation evaluation parameter is obtained by the following formula:

[0025]

[0026] Among them, F 01 represents the first operation evaluation parameter; P represents the retrieval success rate; n represents the number of successfully completed data retrievals that are not one-time retrievals included in the number of successful data retrievals; C i represents the number of repeated data retrievals experienced during the successful completion of the i-th non-one-time retrieval; C max Indicates the maximum number of repeated data retrievals experienced in the case of data retrieval failure;

[0027] Acquire a second operation evaluation parameter using a data retrieval response time included in the retrieval operation parameter for retrieval of construction standard and specification data;

[0028] The data is retrieved using the first operation evaluation parameter and the second operation evaluation parameter; wherein the data is retrieved using the following formula:

[0029]

[0030] Where F represents the data retrieval operation evaluation parameter; F 01 represents the first running evaluation parameter; F 02 represents the second running evaluation parameter;

[0031] Comparing the data retrieved operation evaluation parameter with a preset operation evaluation parameter threshold;

[0032] When the data retrieval operation evaluation parameter is lower than the preset operation evaluation parameter threshold, it is determined that the data retrieval operation is abnormal, and a data retrieval abnormality alarm is issued;

[0033] When it is determined that there is an abnormality in the data retrieval operation and an abnormal data retrieval alarm is issued, the operation of determining the ship construction plan is stopped and an operation and maintenance prompt is sent to the staff terminal.

[0034] Furthermore, obtaining a second operation evaluation parameter by using the data retrieval response time included in the retrieval operation parameter for retrieval of construction standard and specification data includes:

[0035] The total number of calls to extract construction standards and specification data;

[0036] For each retrieved data involved in the process of retrieving construction standard and specification data, obtain the data retrieval response time corresponding to each retrieved data;

[0037] The data retrieval response time of the retrieval data involved in each construction standard and specification data retrieval process is used to obtain the data retrieval response parameter corresponding to each retrieval of the construction standard and specification data, wherein the data retrieval response parameter is obtained by the following formula:

[0038]

[0039] Where, f represents the data retrieval response parameter; m represents the number of retrieved data involved in each construction standard and specification data retrieval process; T i represents the data retrieval response time corresponding to the i-th data to be retrieved in each data retrieval of construction standard and specification data; T c Indicates the preset data retrieval response reference time; i represents the weight value corresponding to the i-th data to be retrieved in the i-th data retrieval of each construction standard and specification data; max Indicates the maximum weight corresponding to the retrieved data involved in each construction standard and specification data retrieval process; λ h represents the weight and value corresponding to the retrieved data involved in each construction standard and specification data retrieval process; f0 represents the parameter reference value, and the parameter reference value is obtained by the following formula:

[0040]

[0041] Where f0 represents the parameter reference value; m represents the number of retrieved data involved in each construction standard and specification data retrieval process; T i represents the data retrieval response time corresponding to the i-th data to be retrieved in each data retrieval of construction standard and specification data; T c Indicates the preset data retrieval response reference time; i represents the weight value corresponding to the i-th data to be retrieved in the i-th data retrieval of each construction standard and specification data; max Indicates the maximum weight corresponding to the retrieved data involved in each construction standard and specification data retrieval process;

[0042] For all the times of retrieval of the construction standard and specification data, the second operation evaluation parameter corresponding to the experienced data retrieval process of the construction standard and specification data is obtained by using the data retrieval response parameter corresponding to each construction standard and specification data, wherein the second operation evaluation parameter is obtained by the following formula:

[0043]

[0044] Among them, F 02 represents the second operation evaluation parameter; z represents the total number of times the construction standard and specification data are retrieved; r represents the number of successful data retrievals; k represents the number of failed data retrievals; f i Indicates the corresponding data retrieval response parameters when the i-th data retrieval is successful; f j Indicates the corresponding data retrieval response parameters when the jth data retrieval fails.

[0045] Furthermore, the determination of the shipbuilding plan in step 1 also includes a cost assessment of the risks that may be encountered during the construction process and the formulation of corresponding countermeasures, specifically:

[0046] Extract historical data with high similarity to the ship construction plan from the ship professional knowledge database, identify the risk type and impact degree in the historical data, and evaluate each identified risk to determine the risk probability of each risk;

[0047] Estimate the direct and indirect losses that may be caused by each risk and determine the scope of the losses;

[0048] Construct a risk cost assessment model, input the risk probability and loss range into the risk cost assessment model to obtain the expected loss value;

[0049] Compare and analyze the expected loss value with the cost budget in the design plan, identify potential areas of cost overruns, generate a cost assessment report based on the identification results, and formulate preventive measures and response measures based on the cost assessment report.

[0050] Furthermore, the optimal combination of material supply, cost control and construction schedule is predicted, including:

[0051] Based on the historical data of ship design solutions, key factors affecting material supply, cost control and construction schedule are identified and converted into numerical values, such as material type, supplier, market price fluctuations, seasonal factors, construction technology, etc.

[0052] Constructing a multi-objective optimization model, determining constraint conditions, training the multi-objective optimization model based on historical data of ship design solutions, and outputting an optimized multi-objective optimization model;

[0053] Generate at least one combination of material supply, cost control and construction schedule according to the trained multi-objective optimization model, and make predictions for each combination;

[0054] The prediction results are comprehensively evaluated according to the preset evaluation criteria, and the combination with the highest comprehensive evaluation score is selected as the optimal combination.

[0055] Furthermore, the shipbuilding process is constructed in step 2, specifically:

[0056] Ship construction plan analysis: collect ship design documents, analyze ship types, sizes, uses and special requirements, and understand construction difficulty and key nodes;

[0057] Extract ship construction process data: Divide the ship construction process into various stages and extract the construction process data of each stage;

[0058] Decompose tasks and stages: Integrate the construction process data of each stage to generate the tasks and subtasks of that stage, determine the start and end time, input and output data and key nodes of each stage, formulate stage acceptance standards and processes, and ensure that each stage can be completed as planned;

[0059] Among them: input data includes design data, construction plan data, materials and resources data and construction standard data; output data includes construction progress data, quality inspection data, material consumption and inventory data, delivery data and feedback data;

[0060] Arrange the construction sequence: determine the priority of each task according to the logical relationship and dependency between tasks in each stage, and arrange the construction sequence according to the priority and the start and end time of the stage;

[0061] Build a work plan: Create a work plan for each task, assign responsible persons based on the needs of the work plan, and develop a resource allocation plan.

[0062] Furthermore, the optimization of the shipbuilding process in step three also includes:

[0063] Collect ship design data, material specifications and equipment parameters to build a corresponding three-dimensional ship model and analyze potential optimization points in the model;

[0064] Conduct stress analysis on the model, identify and optimize redundant structures, and adjust the size of key structures according to navigation needs and performance requirements;

[0065] Simulate the shipbuilding process at each stage according to the mission plan at each stage, replace and adjust the materials, equipment and parameters in the shipbuilding plan, and conduct verification deduction of the shipbuilding process under different materials, equipment and parameters;

[0066] Simulate the performance of ships under different working conditions based on the principle of dynamic simulation, and evaluate potential problems and risks in the construction process based on the simulation results;

[0067] Based on the verification simulation results and evaluation results, the operation plan is optimized and adjusted, and it is determined whether the optimized design scheme meets the preset performance requirements, construction accuracy and cost control goals.

[0068] Furthermore, the model is subjected to stress analysis to identify and optimize redundant structures, including:

[0069] The ship design data is read to determine the types of each stress node of the ship, and corresponding stress node data samples are matched in a stress node database according to the types of each stress node of the ship to extract the stress nodes of the ship;

[0070] Deducing the stress nodes respectively, determining the vertical load and the lateral load of the stress nodes, calculating the increase effect coefficient of the node deformation bending moment of the stress nodes, and determining the maximum pressure strength of the stress nodes according to the increase effect coefficient;

[0071] Perform qualified screening of the stress nodes according to the maximum bearing pressure strength, determine key stress nodes, identify unnecessary structural parts in actual working conditions based on the key stress nodes, determine them as redundant structures and optimize them;

[0072] The strength and stability of the optimized structure are evaluated, and feedback adjustments are made to optimize the redundant structure based on the evaluation results until the expected performance target is achieved.

[0073] Furthermore, the step 4 of obtaining the actual construction process data further includes:

[0074] Based on the collected actual construction process data, a model of the ship currently under construction is constructed, and the model of the ship actually under construction is compared with the three-dimensional model of the ship to determine the difference between the model of the ship actually under construction and the three-dimensional model of the ship;

[0075] Analyze the difference results, identify the problems in the construction process and the causes of the differences, formulate adjustment plans based on the identified results, predict the construction progress based on the adjustment plans, and determine and adjust the completion time of ship construction.

[0076] Compared with the prior art, the present invention has the following beneficial effects:

[0077] 1. By breaking down the shipbuilding process into a series of orderly tasks and stages, the chaos and delays in the construction process are effectively avoided, the construction efficiency is improved, and a dynamic virtual model of the shipbuilding process is constructed. The process is optimized through the construction simulation results, the construction accuracy is improved, and the ship quality is ensured to meet the design requirements. The construction progress is monitored in real time and the actual construction ship model is constructed. Problems and differences in the construction process are discovered and identified in a timely manner, so that effective adjustment plans can be formulated and the risks in the construction process are reduced.

[0078] 2. By establishing a three-dimensional model of the ship, it is possible to more accurately reflect the structure and details of the ship, reduce rework and modifications caused by design errors or omissions, conduct stress analysis and structural optimization on the model, and reduce unnecessary material use, thereby reducing construction costs, reducing hull weight, and improving navigation efficiency. By simulating the ship construction process, it is helpful to discover and solve potential problems and risks in advance, reduce delays and accidents in the actual construction process, improve construction efficiency and safety, enhance the reliability of performance verification, promote the close connection between design and construction, improve the scientificity and rationality of decision-making, and meet diverse needs. BRIEF DESCRIPTION OF THE DRAWINGS

[0079] Figure 1 The present invention is a flow chart of a construction process construction method based on ship construction process management. DETAILED DESCRIPTION

[0080] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0081] In order to solve the technical problems in the existing technology that the establishment of product structure tree and process structure tree cannot provide users and process builders with an intuitive and effective shipbuilding process, and the accuracy and reliability of data are low, please refer to Figure 1 , this embodiment provides the following technical solutions:

[0082] The construction process construction method based on ship construction process management includes the following steps:

[0083] Step 1: Determine the ship construction plan: obtain the ship type, specifications, performance requirements and construction standard data, and design the ship plan based on the acquired data, including the layout and selection of the hull structure, power system, and shipboard equipment, and determine the ship construction plan based on the review results of the design plan; at the same time, monitor the abnormality of data retrieval and operation in the process of determining the ship construction plan;

[0084] Combining material supply, cost control and construction schedule in the ship design scheme based on big data analysis technology, generating at least one combination result, and arranging them according to the combination results to predict the optimal combination of material supply, cost control and construction schedule;

[0085] Predict the optimal combination of material supply, cost control and construction schedule, including:

[0086] Based on the historical data of ship design solutions, key factors affecting material supply, cost control and construction schedule are identified and converted into numerical values, such as material type, supplier, market price fluctuations, seasonal factors, construction technology, etc.

[0087] Constructing a multi-objective optimization model, determining constraint conditions, training the multi-objective optimization model based on historical data of ship design solutions, and outputting an optimized multi-objective optimization model;

[0088] Generate at least one combination of material supply, cost control and construction schedule according to the trained multi-objective optimization model, and make predictions for each combination;

[0089] Comprehensively evaluate the prediction results according to the preset evaluation criteria, and take the combination with the highest comprehensive evaluation score as the optimal combination;

[0090] In this embodiment, by identifying and quantifying key factors, material requirements can be predicted more accurately and resource waste can be reduced. The multi-objective optimization model helps to find the optimal balance point of cost control and reduce unnecessary expenses. The optimization model predicts the construction period, which helps to identify potential delay risks in advance and take measures to avoid them. The data-based decision support system can provide a scientific basis for decision-making, reduce the risks brought by subjective judgment, and improve the execution efficiency of the ship design plan;

[0091] Scheme determination: The design scheme that exceeds the review threshold is regarded as the final ship construction scheme, and the material list, process flow, equipment configuration, cost budget and construction plan are formulated;

[0092] Step 2: Construct shipbuilding process: Analyze the shipbuilding plan, extract shipbuilding process data based on the analysis results, arrange the shipbuilding process in order according to priority, and construct an operation plan. The operation plan is decomposed into units that can be independently designed, prefabricated and assembled. Based on modular construction, the construction process is further optimized, and a parallel operation strategy is implemented to allow different modules or different stages of the same module to proceed simultaneously, significantly shortening the construction cycle and ensuring efficient collaboration and seamless connection between modules. Specifically:

[0093] Shipbuilding plan analysis: Collect ship design documents, including design drawings, technical parameters, equipment selection, etc., analyze ship types, sizes, uses and special requirements, and understand construction difficulty and key nodes;

[0094] Extract shipbuilding process data: Divide the shipbuilding process into various stages: design, material procurement, pretreatment, block construction, assembly, painting, commissioning, etc., and extract the construction process data of each stage, including bill of materials, drawings, standards and specifications, etc.;

[0095] Decompose tasks and stages: Integrate the construction process data of each stage to generate tasks and subtasks for that stage. For example, in the stage of segmented construction, it can be subdivided into multiple tasks such as cutting, welding, and assembly. Determine the start and end time, input and output data, and key nodes of each stage, formulate stage acceptance standards and processes, and ensure that each stage can be completed as planned;

[0096] Among them: input data includes design data, construction plan data, materials and resources data and construction standard data; output data includes construction progress data, quality inspection data, material consumption and inventory data, delivery data and feedback data;

[0097] Arrange the construction sequence: Determine the priority of each task according to the logical relationship and dependency between tasks in each stage, and arrange the construction sequence according to the priority and the start and end time of the stage to ensure that the tasks can be carried out in an orderly manner;

[0098] Build work plan: Develop work plan for each task, including work content, time requirements, resource requirements, etc., assign responsible persons according to the needs of the work plan, and develop resource allocation plan to reasonably allocate human, material, financial and other resources to ensure that resources can be in place on time and meet construction needs;

[0099] In this embodiment, the shipbuilding process is decomposed into a series of orderly tasks and stages, and the input and output, responsible persons, time nodes, etc. of each stage are clearly defined. The shipbuilding process is refined into multiple tasks such as material procurement, pretreatment, block construction, assembly, painting, and commissioning. According to the logical relationship between tasks, the construction cycle is shortened, and according to the process requirements, human, material, financial and other resources are reasonably allocated to ensure the smooth progress of the construction process;

[0100] Step 3: Construction process optimization: formulate unified process standards, build a dynamic virtual model of the ship construction process based on the unified process standards, optimize the ship construction process based on the construction simulation results of the dynamic virtual model, improve construction accuracy and efficiency, ensure that the quality of the ship meets the design requirements, and reduce construction costs and improve economic benefits by optimizing design plans, procurement strategies, production processes, etc.

[0101] Step 4: Real-time supervision of the construction process: Real-time monitoring of the construction progress, comparison of the construction progress with the plan, acquisition of actual construction process data, comparison of the actual construction process data with the dynamic virtual model, and dynamic adjustment of the unfinished ship construction plan based on the comparison results, including:

[0102] Based on the collected actual construction process data, a model of the ship currently under construction is constructed, and the actual ship model under construction is compared with the three-dimensional ship model to determine the differences between the actual ship model under construction and the three-dimensional ship model, including appearance differences, schedule delays, material shortages, quality issues, etc.;

[0103] Analyze the difference results, identify the problems in the construction process and the causes of the differences, formulate adjustment plans based on the identified results, including resource allocation, process optimization, overtime work and other measures, predict the construction progress based on the adjustment plan, and determine and adjust the completion time of ship construction.

[0104] In this embodiment, by decomposing the ship construction process into a series of orderly tasks and stages, chaos and delays in the construction process are effectively avoided, construction efficiency is improved, a dynamic virtual model of the ship construction process is constructed, the process is optimized through the construction simulation results, the construction accuracy is improved, and the ship quality is ensured to meet the design requirements. The construction progress is monitored in real time and the actual construction ship model is constructed. Problems and differences in the construction process are discovered and identified in time, so as to formulate effective adjustment plans, reduce risks in the construction process, establish a strict quality management system, focus on monitoring and inspecting key links in the construction process, establish a quality monitoring system, conduct quality inspection and acceptance of key nodes in the construction process, ensure that quality standards are met, strengthen on-site safety management, investigate and rectify potential safety hazards, and ensure that the construction process is safe and accident-free.

[0105] In this embodiment, the ship construction plan is determined in step 1, specifically:

[0106] Data collection: Obtain construction standards and specification data based on the ship professional knowledge database, clarify the type and purpose of the ship, and record the specifications and performance requirements of the ship, including specific requirements for size, load capacity, sailing speed, and endurance;

[0107] Scheme design: Determine the hull structure according to the ship type and performance requirements, including the selection of ship type, such as monohull, catamaran, trimaran, etc., the cross-section shape and longitudinal section shape of the hull, etc. Based on the hull structure, plan the layout of the power system and various equipment on the ship. The power system includes the main engine type, such as diesel engine, gas turbine, propulsion mode, such as propeller propulsion, water jet propulsion, power distribution, etc., the layout of equipment such as navigation system, communication system, safety system, cargo handling system, etc., and select the appropriate equipment model;

[0108] Specifically, the step 1 of determining to perform abnormal monitoring on the data retrieval operation in the process of determining the ship construction plan includes:

[0109] Real-time monitoring of the retrieval operation parameters of the construction standard and specification data retrieved from the ship professional knowledge database; wherein the retrieval operation parameters include the retrieval success rate, the number of data retrieval repetitions corresponding to the successful retrieval data, and the data retrieval response time;

[0110] The first operation evaluation parameter corresponding to the data retrieval operation is obtained by using the retrieval success rate and the number of data retrieval repetitions corresponding to the retrieval success data; wherein the first operation evaluation parameter is obtained by the following formula:

[0111]

[0112] Among them, F 01 represents the first operation evaluation parameter; P represents the retrieval success rate; n represents the number of successfully completed data retrievals that are not one-time retrievals included in the number of successful data retrievals; C i represents the number of repeated data retrievals experienced during the successful completion of the i-th non-one-time retrieval; C max Indicates the maximum number of repeated data retrievals experienced in the case of data retrieval failure;

[0113] Acquire a second operation evaluation parameter using a data retrieval response time included in the retrieval operation parameter for retrieval of construction standard and specification data;

[0114] The data is retrieved using the first operation evaluation parameter and the second operation evaluation parameter; wherein the data is retrieved using the following formula:

[0115]

[0116] Where F represents the data retrieval operation evaluation parameter; F 01 represents the first running evaluation parameter; F 02 represents the second running evaluation parameter;

[0117] Comparing the data retrieved operation evaluation parameter with a preset operation evaluation parameter threshold;

[0118] When the data retrieval operation evaluation parameter is lower than the preset operation evaluation parameter threshold, it is determined that the data retrieval operation is abnormal, and a data retrieval abnormality alarm is issued;

[0119] When it is determined that there is an abnormality in the data retrieval operation and an abnormal data retrieval alarm is issued, the operation of determining the ship construction plan is stopped and an operation and maintenance prompt is sent to the staff terminal.

[0120] The technical effect of the above technical solution is: in shipbuilding process management, data monitoring is a key link to ensure efficient and accurate execution of the construction process. The main purposes of data monitoring are as follows:

[0121] First, ensure data accuracy: Shipbuilding involves a large amount of complex technical standards and specification data, which are the basis of design plans and construction processes. By monitoring the data retrieval process, data errors or omissions can be discovered and corrected in a timely manner to ensure the scientificity and feasibility of the shipbuilding plan.

[0122] Second, improve construction efficiency: The efficiency of data retrieval directly affects the speed and accuracy of determining the ship construction plan. Monitoring the operating parameters of data retrieval, such as success rate, number of repetitions, and response time, can help identify and resolve potential performance bottlenecks, thereby optimizing the data retrieval process and improving overall construction efficiency.

[0123] Third, risk prevention: During the shipbuilding process, any data errors or delays may lead to unreasonable construction plans or delayed construction progress. Through data monitoring, potential data anomalies can be discovered in a timely manner, risks caused by data problems can be prevented, and the construction process can be ensured to proceed smoothly.

[0124] Fourth, optimize resource allocation: Based on the data monitoring results, the performance of different data sources or data retrieval paths can be evaluated to optimize resource allocation, such as increasing cache, optimizing database query statements, etc., to further improve data retrieval efficiency and stability.

[0125] Therefore, the above technical solution of this embodiment can realize comprehensive monitoring of the data retrieval process and provide an accurate data basis for subsequent evaluation by real-time monitoring of the retrieval operation parameters of the construction standard and specification data in the ship professional knowledge database, including the retrieval success rate, the number of data retrieval repetitions and the response time. The first operation evaluation parameter obtained by the retrieval success rate and the number of data retrieval repetitions reflects the efficiency and stability of data retrieval. At the same time, the second operation evaluation parameter obtained by the data retrieval response time reflects the rapidity of the system response. These two parameters together constitute a comprehensive evaluation of the data retrieval operation status.

[0126] By comparing the data retrieval operation evaluation parameters with the preset operation evaluation parameter threshold, this solution can promptly discover possible problems in the data retrieval process. Once the data retrieval operation evaluation parameters are lower than the preset threshold, the system can quickly determine that there is an abnormality in the data retrieval operation. When it is determined that there is an abnormality in the data retrieval operation, the system will issue a data retrieval abnormality alarm, thereby ensuring that relevant personnel can know and deal with potential problems in a timely manner, ensuring the accuracy of data retrieval and the stability of the system.

[0127] At the same time, when data retrieval operation is abnormal, timely notification of ship construction plan operation and maintenance is to avoid data retrieval abnormalities that may lead to an unstable design foundation of the construction plan, thereby causing errors in a series of subsequent design, procurement, production, etc. Timely notification can prompt relevant personnel to suspend or adjust the current plan, thereby avoiding making decisions based on wrong data to obtain the wrong ship construction plan;

[0128] In summary, this technical solution effectively improves the efficiency and stability of data retrieval through mechanisms such as real-time monitoring, accurate evaluation and abnormal alarm, provides strong data support for the formulation of ship construction plans, and ensures the smooth progress of the construction process.

[0129] Specifically, obtaining the second operation evaluation parameter by using the data retrieval response time included in the retrieval operation parameter for retrieval of construction standard and specification data includes:

[0130] The total number of calls to extract construction standards and specification data;

[0131] For each retrieved data involved in the process of retrieving construction standard and specification data, obtain the data retrieval response time corresponding to each retrieved data;

[0132] The data retrieval response time of the retrieval data involved in each construction standard and specification data retrieval process is used to obtain the data retrieval response parameter corresponding to each retrieval of the construction standard and specification data, wherein the data retrieval response parameter is obtained by the following formula:

[0133]

[0134] Where, f represents the data retrieval response parameter; m represents the number of retrieved data involved in each construction standard and specification data retrieval process; T i represents the data retrieval response time corresponding to the i-th data to be retrieved in each data retrieval of construction standard and specification data; T c Indicates the preset data retrieval response reference time; i represents the weight value corresponding to the i-th data to be retrieved in the i-th data retrieval of each construction standard and specification data; max Indicates the maximum weight corresponding to the retrieved data involved in each construction standard and specification data retrieval process; λ h represents the weight and value corresponding to the retrieved data involved in each construction standard and specification data retrieval process; f0 represents the parameter reference value, and the parameter reference value is obtained by the following formula:

[0135]

[0136] Where f0 represents the parameter reference value; m represents the number of retrieved data involved in each construction standard and specification data retrieval process; T i represents the data retrieval response time corresponding to the i-th data to be retrieved in each data retrieval of construction standard and specification data; T c Indicates the preset data retrieval response reference time; i represents the weight value corresponding to the i-th data to be retrieved in the i-th data retrieval of each construction standard and specification data; max Indicates the maximum weight corresponding to the retrieved data involved in each construction standard and specification data retrieval process;

[0137] For all the times of retrieval of the construction standard and specification data, the second operation evaluation parameter corresponding to the experienced data retrieval process of the construction standard and specification data is obtained by using the data retrieval response parameter corresponding to each construction standard and specification data, wherein the second operation evaluation parameter is obtained by the following formula:

[0138]

[0139] Among them, F 02 represents the second operation evaluation parameter; z represents the total number of times the construction standard and specification data are retrieved; r represents the number of successful data retrievals; k represents the number of failed data retrievals; f i Indicates the corresponding data retrieval response parameters when the i-th data retrieval is successful; f j Indicates the corresponding data retrieval response parameters when the jth data retrieval fails.

[0140] The technical effect of the above technical solution is: by extracting the total number of retrievals of construction standards and specification data, and obtaining the data retrieval response time corresponding to each retrieved data in each data retrieval process, this solution realizes a refined evaluation of data retrieval efficiency. This helps to more accurately understand the performance of the data retrieval process. This solution not only considers the data retrieval response time, but also introduces the weight value λ i To conduct a comprehensive evaluation of each retrieved data. This makes the evaluation results more comprehensive and objective, and can reflect the importance of different data in the retrieval process.

[0141] By calculating the data retrieval response parameters and the second operation evaluation parameters through formulas, this solution transforms the originally abstract data retrieval performance into specific quantitative indicators. This makes the performance evaluation more intuitive and comparable, and helps to promptly discover and improve problems in the data retrieval process. The solution monitors all retrieval times of construction standards and specification data, and uses the data retrieval response parameters corresponding to each data retrieval to obtain the second operation evaluation parameters. This can achieve comprehensive monitoring and timely feedback of the data retrieval process, helping relevant personnel better understand the operation status of data retrieval.

[0142] In summary, this technical solution effectively improves the accuracy and objectivity of the data retrieval process through refined evaluation, introduction of weight values ​​for comprehensive evaluation, quantitative evaluation indicators, comprehensive monitoring and timely feedback. This helps to timely discover and improve problems in the data retrieval process, improve data retrieval efficiency and stability, and provide more reliable data support for the formulation of ship construction plans.

[0143] Scheme review: Review and evaluate the design scheme based on the historical ship construction data in the ship expertise database, convert the review and evaluation results into numerical values, and compare the review and evaluation scores with the preset review thresholds based on the conversion results. It also includes:

[0144] Obtaining historical ship construction data from a ship expertise database, extracting ship construction completion data, and analyzing the ship construction completion data to determine construction integrity and construction safety;

[0145] Evaluate the risk index and construction feasibility index of the historical ship construction data according to the construction integrity and construction safety;

[0146] Compare the construction plan and specific values ​​of each historical ship construction data with the design plan, calculate the risk index and construction feasibility index of the design plan, and conduct review and evaluation based on the risk index and construction feasibility index;

[0147] In this embodiment, the shipbuilding plan is determined in step 1, and the cost assessment of the risks that may be encountered during the construction process is also included, and corresponding countermeasures are formulated, specifically:

[0148] Extract historical data with high similarity to the ship construction plan from the ship professional knowledge database, identify the risk type and impact degree in the historical data, and evaluate each identified risk to determine the risk probability of each risk;

[0149] Estimate the direct and indirect losses that may be caused by each risk, including time delays, cost overruns, quality issues, etc., and determine the scope of the losses;

[0150] Construct a risk cost assessment model, input the risk probability and loss range into the risk cost assessment model to obtain the expected loss value, so as to quantify the impact of risk on cost;

[0151] Compare and analyze the expected loss value with the cost budget in the design plan, identify potential areas of cost overruns, generate a cost assessment report based on the identification results, and formulate preventive measures and response measures based on the cost assessment report;

[0152] In this embodiment, preventive measures are taken to reduce the probability of risk occurrence, for example, strengthening supply chain management, improving technical level, strengthening regulatory compliance, etc.; response measures are taken to reduce the extent of loss after the risk occurs, for example, purchasing insurance, establishing an emergency response mechanism, etc., a risk monitoring mechanism is established during the construction process, risk status is tracked and evaluated regularly, and response measures are adjusted according to monitoring results and actual conditions to ensure the effectiveness and pertinence of the response measures.

[0153] In this embodiment, through data collection based on the ship professional knowledge database, the accuracy of ship construction standards and specification data is ensured, providing a solid foundation for scheme design. At the same time, historical ship construction data is used for scheme review to improve the rationality and reliability of the design scheme, fully consider the risks that may be encountered during the construction process, and conduct detailed risk identification and assessment, thereby reducing the possibility and impact of risks. The cost assessment of risks can quantify the impact of risks on costs, thereby formulating cost budgets more accurately.

[0154] In this embodiment, the shipbuilding process is optimized in step three, and further includes:

[0155] Collect ship design data, material specifications and equipment parameters to establish a corresponding three-dimensional ship model, and analyze potential optimization points in the model, such as material redundancy, excessive structural complexity, unreasonable equipment layout, etc.

[0156] Conduct stress analysis on the model, identify and optimize redundant structures to reduce material costs and reduce hull weight, and adjust the dimensions of key structures such as hull, cabins, and decks according to navigation needs and performance requirements to ensure that functional requirements are met while minimizing material usage;

[0157] Simulate the shipbuilding process at each stage according to the mission plan of each stage, including material cutting, component assembly, welding, painting, etc., replace and adjust the materials, equipment and parameters in the shipbuilding plan, and conduct verification deduction of the shipbuilding process under different materials, equipment and parameters;

[0158] Simulate the performance of ships under different working conditions based on the principle of dynamic simulation, and evaluate potential problems and risks in the construction process based on the simulation results;

[0159] Optimize and adjust the operation plan based on the verification simulation results and evaluation results, and determine whether the optimized design meets the preset performance requirements, construction accuracy and cost control goals;

[0160] In this embodiment, the stress analysis of the model is performed to identify and optimize the redundant structure, which specifically includes:

[0161] The ship design data is read to determine the types of each stress node of the ship, and corresponding stress node data samples are matched in a stress node database according to the types of each stress node of the ship to extract the stress nodes of the ship;

[0162] Deducing the stress nodes respectively, determining the vertical load and the lateral load of the stress nodes, calculating the increase effect coefficient of the node deformation bending moment of the stress nodes, and determining the maximum pressure strength of the stress nodes according to the increase effect coefficient;

[0163] Perform qualified screening of the stress nodes according to the maximum bearing pressure strength, determine key stress nodes, identify unnecessary structural parts in actual working conditions based on the key stress nodes, determine them as redundant structures and optimize them;

[0164] Conduct strength and stability assessments on the optimized structure, and make feedback adjustments to optimize the redundant structure based on the assessment results until the expected performance target is achieved;

[0165] In this embodiment, although the redundant structure is removed, the safety and stability of the ship under extreme working conditions can be ensured by strengthening and optimizing the key stress nodes. By optimizing the redundant structure, unnecessary material usage and hull weight can be reduced, thereby improving the structural efficiency of the ship and reducing construction costs. The optimized ship structure is more reasonable, which helps to improve the navigation performance of the ship.

[0166] In this embodiment, by establishing a three-dimensional model of the ship, it is possible to more accurately reflect the structure and details of the ship, reduce rework and modifications caused by design errors or omissions, perform stress analysis and structural optimization on the model, and reduce unnecessary material use, thereby reducing construction costs, reducing hull weight, and improving navigation efficiency. By simulating the ship construction process, it is helpful to discover and solve potential problems and risks in advance, reduce delays and accidents in the actual construction process, improve construction efficiency and safety, enhance the reliability of performance verification, promote close connection between design and construction, improve the scientificity and rationality of decision-making, and meet diverse needs.

[0167] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A construction process construction method based on ship construction process management, characterized by: The following steps are involved: Step 1: Determine the ship construction plan: obtain the ship type, specifications, performance requirements and construction standard data, design the ship plan based on the acquired data, and determine the ship construction plan based on the review results of the design plan; at the same time, monitor the abnormality of data retrieval and operation in the process of determining the ship construction plan; Based on big data analysis technology, the material supply, cost control and construction schedule in the ship construction plan are determined to be combined to generate at least one combination result, and the combination results are arranged to predict the optimal combination of material supply, cost control and construction schedule; Step 2: Constructing the shipbuilding process: Analyze the shipbuilding plan, extract the shipbuilding process data based on the analysis results, arrange the shipbuilding process in order according to the priority, and construct an operation plan. The operation plan is decomposed into units that can be independently designed, prefabricated and assembled, and a parallel operation strategy is implemented to allow different modules or different stages of the same module to be carried out simultaneously; Step 3: Construction process optimization: formulate unified process standards, build a dynamic virtual model of the ship construction process based on the unified process standards, and optimize the ship construction process based on the construction simulation results of the dynamic virtual model; Step 4: Real-time supervision of the construction process: Monitor the construction progress in real time, compare the construction progress with the plan, obtain the actual construction process data, compare the actual construction process data with the dynamic virtual model, and dynamically adjust the unfinished ship construction plan based on the comparison results.

2. The method for constructing a construction process based on shipbuilding process management according to claim 1, characterized in that: The shipbuilding plan is determined in step 1, specifically: Data collection: Obtain construction standards and specification data based on the ship professional knowledge database, clarify the type and purpose of the ship, and record the specifications and performance requirements of the ship; Scheme design: Determine the hull structure according to the ship type and performance requirements, and plan the layout of the power system and various equipment on the ship based on the hull structure; Scheme review: Review and evaluate the design scheme based on the historical shipbuilding data in the ship expertise database, convert the review and evaluation results into numerical values, and compare the review and evaluation scores with the preset review thresholds based on the conversion results; Scheme determination: The design scheme that is greater than the review threshold will be used as the final ship construction scheme, and a material list, process flow, equipment configuration, cost budget and construction plan will be formulated.

3. The method for constructing a construction process based on shipbuilding process management according to claim 2, characterized in that: The program review also includes: Obtaining historical ship construction data from a ship expertise database, extracting ship construction completion data, and analyzing the ship construction completion data to determine construction integrity and construction safety; Evaluate the risk index and construction feasibility index of the historical ship construction data according to the construction integrity and construction safety; The construction plan and specific values ​​of each historical ship construction data are compared with the design plan one by one, and the risk index and construction feasibility index of the design plan are calculated. Review and evaluation are carried out based on the risk index and construction feasibility index.

4. The method for constructing a construction process based on shipbuilding process management according to claim 3, characterized in that: In the step 1, abnormal monitoring of data retrieval operation in the process of determining the ship construction plan includes: Real-time monitoring of the retrieval operation parameters of the construction standard and specification data retrieved from the ship professional knowledge database; wherein the retrieval operation parameters include the retrieval success rate, the number of data retrieval repetitions corresponding to the successful retrieval data, and the data retrieval response time; The first operation evaluation parameter corresponding to the data retrieval operation is obtained by using the retrieval success rate and the number of data retrieval repetitions corresponding to the retrieval success data; wherein the first operation evaluation parameter is obtained by the following formula: Among them, F 01 represents the first operation evaluation parameter; P represents the retrieval success rate; n represents the number of successfully completed data retrievals that are not one-time retrievals included in the number of successful data retrievals; C i represents the number of repeated data retrievals experienced during the successful completion of the i-th non-one-time retrieval; C max Indicates the maximum number of repeated data retrievals experienced in the case of data retrieval failure; Acquire a second operation evaluation parameter using a data retrieval response time included in the retrieval operation parameter for retrieval of construction standard and specification data; The data is retrieved using the first operation evaluation parameter and the second operation evaluation parameter; wherein the data is retrieved using the following formula: Where F represents the data retrieval operation evaluation parameter; F 01 represents the first running evaluation parameter; F 02 represents the second running evaluation parameter; Comparing the data retrieved operation evaluation parameter with a preset operation evaluation parameter threshold; When the data retrieval operation evaluation parameter is lower than the preset operation evaluation parameter threshold, it is determined that the data retrieval operation is abnormal, and a data retrieval abnormality alarm is issued; When it is determined that there is an abnormality in the data retrieval operation and an abnormal data retrieval alarm is issued, the operation of determining the ship construction plan is stopped and an operation and maintenance prompt is sent to the staff terminal; The second operation evaluation parameter is obtained by using the data retrieval response time included in the retrieval operation parameter for retrieval of construction standard and specification data, including: The total number of calls to extract construction standards and specification data; For each retrieved data involved in the process of retrieving construction standard and specification data, obtain the data retrieval response time corresponding to each retrieved data; The data retrieval response time of the retrieval data involved in each construction standard and specification data retrieval process is used to obtain the data retrieval response parameter corresponding to each retrieval of the construction standard and specification data, wherein the data retrieval response parameter is obtained by the following formula: Where, f represents the data retrieval response parameter; m represents the number of retrieved data involved in each construction standard and specification data retrieval process; T i represents the data retrieval response time corresponding to the i-th data to be retrieved in each data retrieval of construction standard and specification data; T c Indicates the preset data retrieval response reference time; i represents the weight value corresponding to the i-th data to be retrieved in the i-th data retrieval of each construction standard and specification data; max Indicates the maximum weight corresponding to the retrieved data involved in each construction standard and specification data retrieval process; λ h represents the weight and value corresponding to the retrieved data involved in each construction standard and specification data retrieval process; f0 represents the parameter reference value, and the parameter reference value is obtained by the following formula: Where f0 represents the parameter reference value; m represents the number of retrieved data involved in each construction standard and specification data retrieval process; T i represents the data retrieval response time corresponding to the i-th data to be retrieved in each data retrieval of construction standard and specification data; T c Indicates the preset data retrieval response reference time; i represents the weight value corresponding to the i-th data to be retrieved in the i-th data retrieval of each construction standard and specification data; max Indicates the maximum weight corresponding to the retrieved data involved in each construction standard and specification data retrieval process; For all the times of retrieval of the construction standard and specification data, the second operation evaluation parameter corresponding to the experienced data retrieval process of the construction standard and specification data is obtained by using the data retrieval response parameter corresponding to each construction standard and specification data, wherein the second operation evaluation parameter is obtained by the following formula: Among them, F 02 represents the second operation evaluation parameter; z represents the total number of times the construction standard and specification data are retrieved; r represents the number of successful data retrievals; k represents the number of failed data retrievals; f i Indicates the corresponding data retrieval response parameters when the i-th data retrieval is successful; f j Indicates the corresponding data retrieval response parameters when the jth data retrieval fails.

5. The method for constructing a construction process based on shipbuilding process management according to claim 4, characterized in that: Determining the shipbuilding plan in step 1 also includes conducting a cost assessment of the risks that may be encountered during the construction process and formulating corresponding response measures, specifically: Extract historical data with high similarity to the ship construction plan from the ship professional knowledge database, identify the risk type and impact degree in the historical data, and evaluate each identified risk to determine the risk probability of each risk; Estimate the direct and indirect losses that may be caused by each risk and determine the scope of the losses; Construct a risk cost assessment model, input the risk probability and loss range into the risk cost assessment model to obtain the expected loss value; Compare and analyze the expected loss value with the cost budget in the design plan, identify potential areas of cost overruns, generate a cost assessment report based on the identification results, and formulate preventive measures and response measures based on the cost assessment report.

6. The method for constructing a construction process based on shipbuilding process management according to claim 5, characterized in that: Predict the optimal combination of material supply, cost control and construction schedule, including: Based on the historical data of ship design solutions, key factors affecting material supply, cost control and construction schedule are identified and converted into numerical values, such as material type, supplier, market price fluctuations, seasonal factors, construction technology, etc. Constructing a multi-objective optimization model, determining constraint conditions, training the multi-objective optimization model based on historical data of ship design solutions, and outputting an optimized multi-objective optimization model; Generate at least one combination of material supply, cost control and construction schedule according to the trained multi-objective optimization model, and make predictions for each combination; The prediction results are comprehensively evaluated according to the preset evaluation criteria, and the combination with the highest comprehensive evaluation score is selected as the optimal combination.

7. The method for constructing a construction process based on shipbuilding process management according to claim 6, characterized in that: The shipbuilding process is constructed in step 2, specifically: Ship construction plan analysis: collect ship design documents, analyze ship types, sizes, uses and special requirements, and understand construction difficulty and key nodes; Extract ship construction process data: Divide the ship construction process into various stages and extract the construction process data of each stage; Decompose tasks and stages: Integrate the construction process data of each stage to generate the tasks and subtasks of that stage, determine the start and end time, input and output data and key nodes of each stage, formulate stage acceptance standards and processes, and ensure that each stage can be completed as planned; Among them: input data includes design data, construction plan data, materials and resources data and construction standard data; output data includes construction progress data, quality inspection data, material consumption and inventory data, delivery data and feedback data; Arrange the construction sequence: determine the priority of each task according to the logical relationship and dependency between tasks in each stage, and arrange the construction sequence according to the priority and the start and end time of the stage; Build a work plan: Create a work plan for each task, assign responsible persons based on the needs of the work plan, and develop a resource allocation plan.

8. The method for constructing a construction process based on shipbuilding process management according to claim 7, characterized in that: The shipbuilding process is optimized in step 3, and further includes: Collect ship design data, material specifications and equipment parameters to build a corresponding three-dimensional ship model and analyze potential optimization points in the model; Conduct stress analysis on the model, identify and optimize redundant structures, and adjust the dimensions of key structures according to navigation needs and performance requirements; Simulate the shipbuilding process at each stage according to the mission plan at each stage, replace and adjust the materials, equipment and parameters in the shipbuilding plan, and conduct verification deduction of the shipbuilding process under different materials, equipment and parameters; Simulate the performance of ships under different working conditions based on the principle of dynamic simulation, and evaluate potential problems and risks in the construction process based on the simulation results; Based on the verification simulation results and evaluation results, the operation plan is optimized and adjusted, and it is determined whether the optimized design scheme meets the preset performance requirements, construction accuracy and cost control goals.

9. The method for constructing a construction process based on shipbuilding process management according to claim 8, characterized in that: Perform stress analysis on the model to identify and optimize redundant structures, including: The ship design data is read to determine the types of each stress node of the ship, and corresponding stress node data samples are matched in a stress node database according to the types of each stress node of the ship to extract the stress nodes of the ship; Deducing the stress nodes respectively, determining the vertical load and the lateral load of the stress nodes, calculating the increase effect coefficient of the node deformation bending moment of the stress nodes, and determining the maximum pressure strength of the stress nodes according to the increase effect coefficient; Perform qualified screening of the stress nodes according to the maximum bearing pressure strength, determine key stress nodes, identify unnecessary structural parts in actual working conditions based on the key stress nodes, determine them as redundant structures and optimize them; The strength and stability of the optimized structure are evaluated, and feedback adjustments are made to optimize the redundant structure based on the evaluation results until the expected performance target is achieved.

10. The method for constructing a construction process based on shipbuilding process management according to claim 9, characterized in that: The step 4 of obtaining actual construction process data also includes: Based on the collected actual construction process data, a model of the ship currently under construction is constructed, and the model of the ship actually under construction is compared with the three-dimensional model of the ship to determine the difference between the model of the ship actually under construction and the three-dimensional model of the ship; Analyze the difference results, identify the problems in the construction process and the causes of the differences, formulate adjustment plans based on the identified results, predict the construction progress based on the adjustment plans, and determine and adjust the completion time of ship construction.

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