Intelligent planning and scheduling management system and method for ocean engineering project pipeline production

Abstract

The invention discloses an ocean engineering project pipeline production intelligent plan scheduling management system and method, and the system comprises a production route construction unit, an intelligent scheduling unit and a resource analysis unit, and the intelligent scheduling unit is used for combining the production data obtained by the production route construction unit. Priority adjustment is achieved on sorting of pipeline production route data of all dimensions through sorting, automatic scheduling of a pipeline production plan is achieved through an automatic scheduling algorithm of ocean engineering pipeline production in combination with the priority, and the automatic scheduling comprises plan scheduling parameter setting, common plan scheduling and plan scheduling compression or relaxation processing. And carrying out productivity analysis and display on the planned scheduling time interval according to the pipeline production route dimension through a resource analysis unit. Compared with the prior art, the method has the advantages that influence factors of production plan arrangement are considered to the greatest extent, automatic scheduling is realized, and the method is higher in algorithm tolerance, more intelligent and more suitable for complex pipeline generation scheduling scenes.

Description

Technical Field

[0001] The present invention relates to the field of digitalization and computer application technology, and in particular to an intelligent production planning management technology platform for marine engineering projects based on digitalization and intelligence. Background Art

[0002] In order to realize the professional automated scheduling of marine engineering pipelines, it is necessary to consider the influencing factors of production planning to the greatest extent, and use this as the basis for realizing the specific algorithm of automated scheduling. The realization of such system engineering improves the management level; promotes the transformation and upgrading of the marine engineering industry, and enhances the competitiveness and sustainable development capabilities of the entire industry. Therefore, developing a production planning management technology platform based on computer technology is a technical problem to be solved by the present invention. Summary of the invention

[0003] The present invention aims to improve the management level of marine engineering and proposes an intelligent planning and scheduling management system and method for pipeline production of marine engineering projects. By using computer management means and considering the influencing factors of production plan scheduling, the electronic and intelligent management platform design of the production plan of marine engineering projects is realized.

[0004] In order to solve the above technical problems, the technical solution adopted by the present invention is as follows:

[0005] On the one hand, the present invention provides an intelligent planning and scheduling management system for pipeline production in marine engineering projects, including a production route construction unit for constructing a pipeline production route model to obtain pipeline production data; an intelligent scheduling unit and a resource analysis unit, wherein the pipeline production route model is constructed by attribute information related to the current production route and attribute information related to the previous production route; the intelligent scheduling unit is used to combine the production data obtained by the production route construction unit, and to adjust the priority of the pipeline production route data in each dimension by sorting, so as to realize automatic scheduling of the pipeline production plan by combining the priority through the automatic scheduling algorithm of marine engineering pipeline production, including setting planning and scheduling parameters, performing ordinary planning and scheduling, and compressing or relaxing the planning and scheduling; the resource analysis unit is used to analyze and display the production capacity according to the pipeline production route dimension within the planning and scheduling time interval.

[0006] In some embodiments, the production route construction unit further includes: an operation ergonomics construction module, which is used for the specific definition of operation ergonomics, and the specific definition of operation ergonomics is at least associated with information including category distinction and distinction value; a plant ergonomics construction module, which is used for the specific definition of plant ergonomics, and the plant ergonomics is at least associated with information including plant name, operation range, maximum load, unit, category distinction, distinction value and priority; a subcontractor ergonomics construction module, which is used for the specific definition of subcontractor ergonomics, including at least standard type, standard value, company name, maximum load and weight index; a special process ergonomics construction module, which is used for the specific definition of special process ergonomics, including category distinction, distinction value and processing method.

[0007] In some embodiments, the pipeline production route model includes at least current production route related attributes, namely, the current production route name, and predecessor production route related attributes including predecessor production route name, weight, schedule time interval setting, sorting setting and predecessor process production plan completion status record, and prerequisite condition prompts.

[0008] In some embodiments, setting the priority of pipeline production route data in each dimension through sorting includes: recursively processing the pipeline production data through multiple sorting conditions, continuously capturing data, and re-sorting the sorted subsets to perform priority screening and sorting of the pipeline production data, thereby obtaining priority screening results of pipeline production data in each dimension.

[0009] In some embodiments, the dimensions of the pipeline production route data include basic data, pipeline production route data, pipeline line rate data, pipeline package rate data, and custom data for expansion.

[0010] In some embodiments, the automatic scheduling algorithm for offshore pipeline production includes:

[0011] i. Set the planning and scheduling parameters, including: the planning time setting of all pipeline production routes, including the standard planning and scheduling time corresponding to the index of each pipeline production route from the front to the back, and the capacity bottleneck setting, including the unique capacity bottleneck corresponding to each pipeline production route;

[0012] ii. Perform normal planning and scheduling: Give the target scheduling time, start normal planning and scheduling, and verify whether it exceeds the capacity bottleneck of the day based on the calculation results of the planning time of each stage; if it exceeds, the normal planning and scheduling needs to be deduced by 1 day in the forward derivation; the normal planning and scheduling needs to be deduced by 1 day in the backward derivation, and the number of days after analysis and calculation needs to be verified again whether it exceeds the capacity bottleneck of the day;

[0013] iii. Compression or relaxation of the plan schedule: Given the target A3 = 2024-9-1, A1 = 2024-8-25, start scheduling, and then there is no target. Use the normal plan schedule algorithm (ii). If there is a need to compress or relax the plan schedule, the standard operating days need to be proportionally increased or decreased to achieve the logic of compressing or relaxing the standard operating days of the original normal plan schedule with two fixed time route intervals as the target.

[0014] On the other hand, an intelligent planning and scheduling management method for pipeline production in an offshore engineering project includes:

[0015] Construct a pipeline production route model to obtain pipeline production data; combine the production data obtained by the production route construction unit, and adjust the priority by sorting the pipeline production route data in each dimension, so as to realize automatic scheduling of pipeline production plan through the automatic scheduling algorithm of offshore engineering pipeline production in combination with the priority, including setting the scheduling parameters, performing ordinary scheduling, and compressing or relaxing the scheduling; analyze and display the production capacity according to the pipeline production route dimension within the time interval of the scheduling.

[0016] In some embodiments, the automatic scheduling algorithm for offshore pipeline production further comprises:

[0017] i. Set the planning and scheduling parameters, including: the planning time setting of all pipeline production routes, including the standard planning and scheduling time corresponding to the index of each pipeline production route from the front to the back, and the capacity bottleneck setting, including the unique capacity bottleneck corresponding to each pipeline production route;

[0018] ii. Perform normal planning and scheduling: Give the target scheduling time, start normal planning and scheduling, and verify whether it exceeds the capacity bottleneck of the day based on the calculation results of the planning time of each stage; if it exceeds, the normal planning and scheduling needs to be deduced by 1 day in the forward derivation; the normal planning and scheduling needs to be deduced by 1 day in the backward derivation, and the number of days after analysis and calculation needs to be verified again whether it exceeds the capacity bottleneck of the day;

[0019] iii. Compression or relaxation of the plan schedule: Given the target A3 = 2024-9-1, A1 = 2024-8-25, start scheduling, and then there is no target. Use the normal plan schedule algorithm (ii). If there is a need to compress or relax the plan schedule, the standard operating days need to be proportionally increased or decreased to achieve the logic of compressing or relaxing the standard operating days of the original normal plan schedule with two fixed time route intervals as the target.

[0020] Compared with the traditional management system and method, the beneficial effects and advantages of the present invention are:

[0021] Combined with the production data obtained by the production route construction unit, the priority adjustment is achieved by sorting the pipeline production route data of each dimension, and the automatic scheduling algorithm of marine engineering pipeline production is used to realize the automatic scheduling of pipeline production plan in combination with the priority, including setting planning and scheduling parameters, performing general planning and scheduling, and compressing or relaxing planning and scheduling. The combination of sorting and automatic scheduling algorithms provides a specific algorithm basis for the professional automatic scheduling of marine engineering pipelines, takes into account the influencing factors of production plan scheduling to the greatest extent, and realizes automatic scheduling. The algorithm is more inclusive, more intelligent, and more adaptable to complex pipeline generation and scheduling scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 This is a schematic diagram of the architecture of an intelligent planning and scheduling management system for pipeline production in an offshore engineering project of the present invention;

[0023] Figure 2 Construct unit schematics for production routes;

[0024] Figure 3 A schematic diagram of the automatic scheduling process for the production plan of offshore engineering pipelines in the intelligent scheduling unit;

[0025] Figure 4 It is a flowchart of the automatic scheduling algorithm;

[0026] Figure 5 It is a specific embodiment diagram of the sorting algorithm;

[0027] Figure 6 The present invention is a flow chart diagram of an intelligent planning and scheduling management method for pipeline production in an offshore engineering project. DETAILED DESCRIPTION

[0028] The present invention is further described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation methods described herein are only used to explain the present invention and are not used to limit the present invention.

[0029] Embodiment 1: Intelligent planning and scheduling management system for pipeline production in offshore engineering projects

[0030] like Figure 1As shown, an intelligent planning and scheduling management system for pipeline production in an offshore engineering project of the present invention includes a production route construction unit 10, an intelligent scheduling unit 20 and a resource analysis unit 30. The production route construction unit 10 is used to construct a pipeline production route model to obtain pipeline production data and set the priority of pipeline production route data of each dimension by sorting; wherein the pipeline production route model mainly includes the current production route related attributes, namely the current production route name, and the front production route related attributes including the front production route name, weight, time interval setting of the plan scheduling (such as days), sorting setting and the completion status record of the front process production plan (such as completion status is yes or no), necessary condition prompts and other information, wherein the necessary conditions refer to one or more of the four basic information of the pressure test package number, level, insulation code, and pressure test package name. The intelligent scheduling unit 20 is used to combine the production data obtained by the production route construction unit, and complete the sorting of the pipeline production route data of each dimension through the sorting of visual operations to achieve priority adjustment, so as to realize the automatic scheduling of the pipeline production plan through the automatic scheduling algorithm of offshore engineering pipeline production in combination with the priority, including setting the planning and scheduling parameters, performing ordinary planning and scheduling, and compressing or relaxing the planning and scheduling. The resource analysis unit 30 is used to analyze and visualize whether the production capacity has reached the bottleneck within the time interval of the planning and scheduling. The capacity analysis is carried out according to the pipeline production route dimension. The capacity bottleneck refers to the maximum capacity of the pipeline in one day. For example, the factory has pipeline workshops 1 and 2. The carbon steel pipes of workshop 1 can be cut at most 3,000 inches a day, and the carbon steel pipes of workshop 2 can be cut at most 4,000 inches a day. Here, 3,000 and 4,000 are the bottlenecks of production capacity, that is, how much can be done at most.

[0031] like Figure 2 As shown, the production route construction unit further includes:

[0032] The work efficiency construction module is used for the specific definition of work efficiency, which at least includes information such as category distinction (material category), distinction value (material selection), and unit (inch / day) to realize the definition of work efficiency. The distinction value refers to the material code of the pipe, such as CS, LTCS, SS, DSS, etc. The work efficiency is the production capacity, for example, 3000 inches / day. When the subsequent algorithm calculates, when encountering pipes of the corresponding material, calculate how many inches of work have been scheduled for the material on the day. For example, 2950 inches have been scheduled, then the current pipe is 70 inches, and the production capacity bottleneck is 3000 inches. It is necessary to move the time forward or backward N days before judging the production capacity. .

[0033] The plant ergonomics building module is used to define the plant ergonomics, including plant name, operation range, maximum load, unit, category distinction (material category), distinction value (material selection) and priority. The operation range refers to the time, such as from a certain date to a certain date.

[0034] The subcontractor work efficiency building module is used to define the subcontractor work efficiency in detail, including standard type (root / person-day, inch / person-day), standard value, company name, maximum load (people), and weight index. The standard types include "root / person-day" and "inch / person-day". The standard value is a number, which refers to the maximum number of pipes or inches that a person can work in a day. The workers here have different statistical methods for different production stages, such as how many pipes are transported and how many inches are cut. The statistical dimensions of each production link are different. The maximum load (people) refers to the maximum number of people that a subcontracting company can have in this production operation link. For example, in the production operation link of "cutting and distribution completion", Company A can send up to 30 people to complete it, so the maximum load (people) = 30 is used to represent it.

[0035] The special process efficiency building module is used for the specific definition of special process efficiency, including category distinction, distinction value, and processing method (process exclusion, special duration). Among them, process exclusion means that when encountering a pipe of a certain material (for example, a pipe with a distinction value = FRP), the production stage will not process it (no sandblasting operation), so "sandblasting operation" is configured as process exclusion for "FRP". Special duration means that when encountering a pipe with a certain distinction value (a pipe of a certain material), the corresponding production route is generally 2 days, but it takes 3 days, that is, the time-consuming processing configuration of special materials.)

[0036] like Figure 3 As shown, the automatic scheduling process of the offshore engineering pipeline production plan in the intelligent scheduling unit is used to realize the automatic planning of large-scale pipeline operations. The algorithm includes two core steps:

[0037] Step 1: Set the dimensions of pipeline production data for priority screening and sorting:

[0038] ① Dimension 1, basic data: The basic data are project name, project code, module name, module code, material, pipe diameter, DINCH, level, location, and pressure test package; among them, the module name refers to the design and construction module into which large-scale oil and gas production equipment is divided during construction. DINCH refers to the diameter of the cross section of the pipe. Level refers to the level when the module is built. The location refers to the position coordinates of the pipe in the module. The pressure test package refers to the pressure test required when the offshore engineering oil and gas production equipment is completed, which is used to check whether the equipment has water leakage or gas leakage, etc. The pressure test operation includes multiple corresponding pressure test task packages. ;

[0039] ② Dimension 2, pipeline production route data: Pipeline production route data includes design work package issuance, delivery after cutting, prefabrication assembly, prefabrication welding, prefabrication release, handover and assembly, assembly and handover painting, painting, painting handover and assembly, delivery site, hoisting, on-site assembly, on-site welding, line inspection, pressure test, reinstallation, flange management 2, and pipeline insulation;

[0040] ③ Dimension three, pipeline completion rate data: The pipeline completion rate data includes the following: design work package issuance completed, delivery after cutting completed, prefabrication assembly completed, prefabrication welding completed, prefabrication release completed, handover and assembly completed, assembly and handover painting completed, painting completed, painting handover and assembly completed, delivery site completed, hoisting completed, on-site assembly completed, on-site welding completed, line inspection completed, pressure test completed, reinstallation completed, flange management 2 completed, and pipeline insulation completed;

[0041] ④ Dimension 4, pipeline packaging rate data: The pipeline packaging rate data includes the following: design work package issuance completed, delivery after cutting completed, prefabrication assembly completed, prefabrication welding completed, prefabrication release completed, handover and assembly completed, assembly and handover painting completed, painting completed, painting handover and assembly completed, delivery site completed, hoisting completed, on-site assembly completed, on-site welding completed, line inspection completed, pressure test completed, reinstallation completed, flange management 2 completed, and pipeline insulation completed; among them, flange management refers to flange management during installation and disassembly;

[0042] ⑤Dimension 5, custom data: Custom data is used for custom extensions of other required parameters for sorting.

[0043] Among them, the pipeline production route refers to the pipeline production sequence according to the completion time of each step.

[0044] Customization means that you can define 4 custom data columns (Custom 1, Custom 2, Custom 3, Custom 4) in the production data to influence the sorting results.

[0045] The pipeline is composed of several small pipes spliced ​​together, referred to as "line". Therefore, the line rate refers to which pipelines have been completed at a certain stage, for example, some are 95% and some are 40%. Then the production evolution will prioritize the plan that will become a pipeline. The concept of package rate is the same as the line rate, which refers to which pressure test packages have been completed at a certain stage. The expression is as follows:

[0046] Pipeline completion rate = number of parts at the time when the pipeline is completed / total number of pipeline parts

[0047] Pipeline package rate = number of parts at the time of completion of the pressure test package / total number of parts in the pressure test package

[0048] Sorting rules include:

[0049] Sorting rules 1. Project code limitation instruction setting for pipeline production route screening: Use commas as separators. For example, if you enter A, B in the project code data screening, the production data will be filtered and only the data with project code = A or B will be extracted.

[0050] Sorting rule 2: Pipeline production route priority instruction setting: Use commas as separators. For example, if the data priority of the project code is entered as A, C, B, the production data will be divided by project code and sorted as a whole from high to low priority A, C, B. The pipeline production route is sorted in ascending and descending order based on priority.

[0051] Sorting rule 3. Setting of pipe diameter range limit command for pipeline production route screening: Use the symbols "start >", "> =", "<", "< =", "=", "end >", "> =", "<", "< =", "=" to enter specific limit values. For example, if you select and enter >3, < = 10 for pipe diameter range limit, the system will filter the production data and only extract the production data of pipelines with diameters > 3 and < = 10;

[0052] like Figure 5 As shown, the sorting algorithm parameter sortdata = production data, the sorting algorithm instruction iSortCondition = the current sorting according to the sorting rule, the pipeline production data is recursively processed through multiple sorting conditions, the data is continuously captured, and the sorted subsets are sorted again to perform priority screening and sorting of the pipeline production data, thereby obtaining the priority screening results of the pipeline production data in each dimension; the sorting algorithm is explained below through a specific embodiment; Figure 5As shown, (5a) shows the priority of the sorting conditions, with basic data, pressure test package package rate, line rate, time point and custom as sorting conditions, and the priority decreases from top to bottom. (5b) shows the data to be processed, including basic data (project identification, module identification, pipe section identification, maximum pipe diameter, electric heating identification), pressure test package package rate, line rate (including lifting completion-line rate, painting completion-line rate), time point (including lifting completion-actual time, handover and assembly completion actual time) and custom fields. (5c) shows that the projects are prioritized according to the first condition (project), and all subsequent sorting conditions are secondary sorted based on the scope of each project. This operation is marked as: Data priority order: UARU, MERO2. (5d) shows the re-sorting results of the data in the UARU area of ​​the project. The project does not involve M3 and M1, so the sorting result does not change compared to the sorting result of (5c). This operation is marked as: UARU-priority: M3, M1. (5e) shows the result of re-sorting the data in the UARU area of ​​the project according to the packaging rate and in descending order, and this operation is marked as: UARU-Packing rate-sorting: descending; (5f) shows the result of re-sorting the data in the UARU area of ​​the project according to the maximum pipe diameter and in ascending order, and this operation is marked as: UARU-Maximum pipe diameter: ascending; (5g) shows the result of re-sorting the data in the UARU area of ​​the project according to the electric heating first no then yes, and this operation is marked as: UARU-Electric heating data priority: no, yes; (5h) shows the result of re-sorting the data in the MERO2 area after the UARU area is sorted, and this operation is marked as: MERO2-Data priority: M3, M1. (5i) shows the result of re-sorting the data in the MERO2 area according to the packaging rate and in descending order, and this operation is marked as: MERO2-Packing rate-sorting: descending. (5j) shows the result of re-sorting the data in the MERO2 area according to the maximum pipe diameter and in ascending order, and this operation is marked as: MERO2-Maximum pipe diameter: ascending. The adjustment of priorities is based on capacity analysis. Different capacity bottlenecks lead to different priorities and sorting of data in each dimension to ensure that the capacity bottleneck is not exceeded.

[0053] Step 2: Design a sorting algorithm based on the characteristics of actual production planning and scheduling of offshore engineering pipelines. Determine the priority by sorting the data in each dimension based on the production capacity bottleneck through the sorting algorithm. Adjust according to the priority. Use the data in each dimension selected by the sorting algorithm to realize the automatic scheduling of the plan:

[0054] i. Set the planning and scheduling parameters, including: the planning time of all pipeline production routes is set as A1, A2, A3, A4...A N, where A represents the standard planning schedule time corresponding to the production route index of each pipeline from front to back, and N represents the production route index; A1-A2=T1, A2-A3=T2, A3-A4=T3..., where T represents the standard operation days between different production routes; the capacity bottleneck is set as M1, M2, M3...M N , where M represents the unique capacity bottleneck corresponding to each pipeline production route;

[0055] ii. Perform normal planning and scheduling: Give the target scheduling time A3 = 2024-9-1, and start normal planning and scheduling.

[0056] A2=A3-T2,A1=A2-T1,A4=A3+T3,...Based on the planned time calculation results A2, A1, A4 of each stage, verify whether M exceeds the capacity bottleneck of the day. If it exceeds, the forward derivation needs to subtract 1 day (i.e. -1 day) from the ordinary plan schedule, for example A2=A3-T2, A1=A2-T1; the backward derivation needs to add 1 day (i.e. +1 day) to the ordinary plan schedule, for example A4=A3+T3; analyze the calculated days and verify again whether M exceeds the capacity bottleneck of the day;

[0057] iii. Compression or relaxation of the plan schedule: Given the target A3 = 2024-9-1, A1 = 2024-8-25, start scheduling. There is no target after A3. Use the normal plan schedule algorithm of (ii). There is A1 before A3. If there is a need to compress or relax the plan schedule, the standard operating days need to be proportionally increased or decreased, that is, T2 = T2*(T1+T2) / (A1+A3). After substituting into the calculation formula, A2 = A3-T2*(T1+T2) / (A1+A3), so as to realize the logic of planning and scheduling with two fixed time route intervals as the target, and compressing or relaxing the standard operating days of the original normal plan schedule proportionally.

[0058] Embodiment 2: Intelligent planning and scheduling management method for pipeline production in marine engineering projects

[0059] like Figure 6 As shown in the figure, an intelligent planning and scheduling management method for pipeline production of an offshore engineering project of the present invention is provided, and the process includes the following steps:

[0060] Construct a pipeline production route model to obtain pipeline production data; combine the production data obtained by the production route construction unit, and adjust the priority by sorting the pipeline production route data in each dimension, so as to realize automatic scheduling of pipeline production plan through the automatic scheduling algorithm of offshore engineering pipeline production in combination with the priority, including setting the scheduling parameters, performing ordinary scheduling, and compressing or relaxing the scheduling; analyze and display the production capacity according to the pipeline production route dimension within the time interval of the scheduling.

[0061] The automatic scheduling algorithm for offshore pipeline production further includes:

[0062] i. Set the planning and scheduling parameters, including: the planning time setting of all pipeline production routes, including the standard planning and scheduling time corresponding to the index of each pipeline production route from the front to the back, and the capacity bottleneck setting, including the unique capacity bottleneck corresponding to each pipeline production route;

[0063] ii. Perform normal planning and scheduling: Give the target scheduling time, start normal planning and scheduling, and verify whether it exceeds the capacity bottleneck of the day based on the calculation results of the planning time of each stage; if it exceeds, the normal planning and scheduling needs to be deduced by 1 day in the forward derivation; the normal planning and scheduling needs to be deduced by 1 day in the backward derivation, and the number of days after analysis and calculation needs to be verified again whether it exceeds the capacity bottleneck of the day;

[0064] iii. Compression or relaxation of the plan schedule: Given the target A3 = 2024-9-1, A1 = 2024-8-25, start scheduling, and then there is no target. Use the normal plan schedule algorithm (ii). If there is a need to compress or relax the plan schedule, the standard operating days need to be proportionally increased or decreased to achieve the logic of compressing or relaxing the standard operating days of the original normal plan schedule with two fixed time route intervals as the target.

[0065] The present invention provides specific algorithmic basis for professional automated scheduling of marine engineering pipelines through these algorithms, takes into account the influencing factors of production planning to the greatest extent, and realizes automated scheduling.

Claims

1. An intelligent planning and scheduling management system for pipeline production in marine engineering projects, characterized in that: It includes a production route construction unit, which is used to construct a pipeline production route model to obtain pipeline production data; an intelligent scheduling unit and a resource analysis unit, wherein the pipeline production route model is constructed by the current production route related attribute information and the previous production route related attribute information; the intelligent scheduling unit is used to combine the production data obtained by the production route construction unit, and adjust the priority by sorting the pipeline production route data of each dimension, so as to realize the automatic scheduling of the pipeline production plan through the automatic scheduling algorithm of offshore engineering pipeline production in combination with the priority, including setting the plan scheduling parameters, performing ordinary plan scheduling, and compressing or relaxing the plan scheduling; the resource analysis unit is used to analyze and display the production capacity according to the pipeline production route dimension within the time interval of the plan scheduling.

2. According to claim 1, the intelligent planning and scheduling management system for pipeline production in marine engineering projects is characterized in that: The production route construction unit further includes: an operation ergonomics construction module, which is used for the specific definition of operation ergonomics, and the specific definition of operation ergonomics is at least associated with information including category distinction and distinction value; a plant ergonomics construction module, which is used for the specific definition of plant ergonomics, and the plant ergonomics is at least associated with information including plant name, operation range, maximum load, unit, category distinction, distinction value and priority; a subcontractor ergonomics construction module, which is used for the specific definition of subcontractor ergonomics, including at least standard type, standard value, enterprise name, maximum load and weight index; a special process ergonomics construction module, which is used for the specific definition of special process ergonomics, including category distinction, distinction value and processing method.

3. According to claim 1, the intelligent planning and scheduling management system for pipeline production in marine engineering projects is characterized in that: The pipeline production route model includes at least the current production route related attributes, namely the current production route name, and the predecessor production route related attributes including the predecessor production route name, weight, time interval setting of the planning schedule, sorting setting and the predecessor process production plan completion status record and necessary condition prompts.

4. According to claim 1, the intelligent planning and scheduling management system for pipeline production in marine engineering projects is characterized in that: The priority setting of pipeline production route data of each dimension through sorting includes: recursively processing pipeline production data through multiple sorting conditions, continuously capturing data, and re-sorting the sorted subsets to perform priority screening and sorting of pipeline production data, thereby obtaining priority screening results of pipeline production data of each dimension.

5. The intelligent planning and scheduling management system for pipeline production in marine engineering projects according to claim 1 is characterized in that: The various dimensions of pipeline production route data include basic data, pipeline production route data, pipeline line rate data, pipeline package rate data and custom data.

6. The intelligent planning and scheduling management system for pipeline production in marine engineering projects according to claim 1 is characterized in that: The automatic scheduling algorithm for offshore pipeline production further includes: i. Set the planning and scheduling parameters, including: the planning time setting of all pipeline production routes, including the standard planning and scheduling time corresponding to the index of each pipeline production route from the front to the back, and the capacity bottleneck setting, including the unique capacity bottleneck corresponding to each pipeline production route; ii. Perform normal planning and scheduling: Give the target scheduling time, start normal planning and scheduling, and verify whether it exceeds the capacity bottleneck of the day based on the calculation results of the planning time of each stage; if it exceeds, the normal planning and scheduling needs to be deduced by 1 day in the forward derivation; the normal planning and scheduling needs to be deduced by 1 day in the backward derivation, and the number of days after analysis and calculation needs to be verified again whether it exceeds the capacity bottleneck of the day; iii. Compression or relaxation of the plan schedule: Given the target A3 = 2024-9-1, A1 = 2024-8-25, start scheduling, and then there is no target. Use the normal plan schedule algorithm (ii). If there is a need to compress or relax the plan schedule, the standard operating days need to be proportionally increased or decreased to achieve the logic of compressing or relaxing the standard operating days of the original normal plan schedule with two fixed time route intervals as the target.

7. An intelligent planning and scheduling management method for pipeline production in an offshore engineering project, characterized in that: include: Construct a pipeline production route model to obtain pipeline production data; Combined with the production data obtained by the production route construction unit, the priority is adjusted by sorting the pipeline production route data of each dimension, so as to realize the automatic scheduling of the pipeline production plan through the automatic scheduling algorithm of offshore engineering pipeline production in combination with the priority, including setting the planning and scheduling parameters, performing the general planning and scheduling, and compressing or relaxing the planning and scheduling; Capacity analysis and display are carried out according to the pipeline production route dimension within the planned scheduling time period.

8. The method for intelligent planning and scheduling management of pipeline production in marine engineering projects according to claim 7 is characterized in that: The automatic scheduling algorithm for offshore pipeline production further includes: i. Set the planning and scheduling parameters, including: the planning time setting of all pipeline production routes, including the standard planning and scheduling time corresponding to the index of each pipeline production route from the front to the back, and the capacity bottleneck setting, including the unique capacity bottleneck corresponding to each pipeline production route; ii. Perform normal planning and scheduling: Give the target scheduling time, start normal planning and scheduling, and verify whether it exceeds the capacity bottleneck of the day based on the calculation results of the planning time of each stage; if it exceeds, the normal planning and scheduling needs to be deduced by 1 day in the forward derivation; the normal planning and scheduling needs to be deduced by 1 day in the backward derivation, and the number of days after analysis and calculation needs to be verified again whether it exceeds the capacity bottleneck of the day; iii. Compression or relaxation of the plan schedule: Given the target A3 = 2024-9-1, A1 = 2024-8-25, start scheduling, and then there is no target. Use the normal plan schedule algorithm (ii). If there is a need to compress or relax the plan schedule, the standard operating days need to be proportionally increased or decreased to achieve the logic of compressing or relaxing the standard operating days of the original normal plan schedule with two fixed time route intervals as the target.

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