Production management and control method and system for aerospace composite workshop

Abstract

The present invention belongs to the technical field of workshop production management. Disclosed are a production management and control method and system for an aerospace composite workshop. The production management and control method comprises the following steps: S1, acquiring production order information; S2, acquiring part drawing number information; S3, classifying the production order information to acquire first part classification information; S4, on the basis of the production order information, acquiring part material information; S5, acquiring part process information; S6, on the basis of the part process information, acquiring node process information and parallel process information; S7, acquiring part classification information; S8, on the basis of the node process information, the parallel process information and the part classification information, acquiring workshop production plan information; and S9, on the basis of the workshop production plan information, producing parts. By means of effectively classifying parts, the present invention not only improves the efficiency of workshop production management and control, but also improves the stability and reliability of part production quality.

Description

A production control method and system for aerospace composite materials workshop Technical Field

[0001] This invention relates to the field of intelligent workshop production management technology, and in particular to a production control method and system for an aerospace composite materials workshop. Background Technology

[0002] With the significant increase in the production capacity of composite parts, the tasks in composite material workshops have gradually shifted from "multiple varieties, small batches" to "multiple varieties, large batches." There are still many manual processing steps, which have not yet been digitally controlled and mainly rely on manual methods, which cannot meet the requirements of production efficiency and manufacturing quality. The production tasks in composite material workshops are characterized by "multiple parallel processing steps." The materials used, processing time, and processing content of each step vary greatly. A single composite part may involve a large number of different processing steps being processed simultaneously, involving the logistics of different sections of the part and the parallel logistics of multiple different types of parts.

[0003] Currently, there are still many problems in the production control of aerospace composite material workshops, such as: the inability to analyze and plan production orders, the inability to accurately evaluate parts to be produced, and the inability to classify parts, resulting in low equipment utilization and high energy consumption; the inability to configure part processing procedures, causing material waste and chaotic workshop production management.

[0004] Chinese patent document with publication number CN113657730 A and publication date November 16, 2021 discloses a digital manufacturing integrated execution platform. Based on the bill of materials, it builds a digital manufacturing integrated execution platform that integrates planning management, contract management, resource balancing, procurement management, production plan issuance, equipment status management, advanced scheduling, production preparation, plan execution, quality inspection, time management, anomaly handling, Kanban management, alarm management, and inventory management.

[0005] The digital manufacturing integrated execution platform disclosed in this patent document solves the problem of fully digital production management from planning, procurement, execution to warehousing, and can adapt to the advanced digital manufacturing needs of workshops in the industry. However, due to the failure to effectively classify parts, the efficiency of workshop production control is affected, and the stability and reliability of parts production quality cannot be guaranteed. Summary of the Invention

[0006] In order to overcome the shortcomings of the prior art, the present invention provides a production control method and system for aerospace composite workshops. By effectively classifying parts, the present invention not only improves the efficiency of workshop production control, but also improves the stability and reliability of parts production quality.

[0007] This invention is achieved through the following technical solution:

[0008] A production control method for an aerospace composite materials workshop includes the following steps:

[0009] S1. Obtain production order information, which includes part model information and specific parameter information of the part;

[0010] S2. Match the production order information with the parts database of the workshop production to obtain the part drawing number information;

[0011] S3. Based on the part number setting rules, classify the production order information and obtain the first category information of the parts;

[0012] S4. Obtain part material information based on production order information;

[0013] S5. Based on the part drawing number information, associate the part drawing number with the process flow to obtain the part process information;

[0014] S6. Based on the part process information, obtain the node process information and parallel process information;

[0015] S7. Obtain part classification information based on part material information, part process information, part first classification information, and part second classification information;

[0016] S8. Obtain workshop production plan information based on node process information, parallel process information, and part classification information;

[0017] S9. Produce the parts according to the workshop production plan information.

[0018] In S2, the part drawing number information includes part serial number information, part model information, and part revision number information.

[0019] S3 specifically includes:

[0020] S31. Based on the part serial number information, obtain the part serial number feature bit information and the part serial number sequence bit information;

[0021] S32. Classify the parts according to the part serial number feature information to obtain the initial part classification information;

[0022] S33. Based on the part drawing number setting rules, obtain the weight of the part serial number sequence position, the weight of the part model number, and the weight of the part revision number;

[0023] S34. Evaluate the part drawing number information and obtain the basic difference coefficient of the part;

[0024] S35. Based on workshop production equipment information, obtain the basic difference coefficient threshold of the parts;

[0025] S36. Based on the basic difference coefficient and the threshold of the basic difference coefficient of the part, the initial classification information of the part is reclassified to obtain the first classification information of the part.

[0026] The basic difference coefficient of the parts is calculated using Equation 1;

[0027]

[0028] in, Let be the basic difference coefficient between part type x and part type y. Let x be the sequence number position of the part series number of the x-th type of part. Let x be the part model value of the xth type of part. Let x be the part revision number of the xth type of part. Let be the part serial number sequence position of the i-th type of part in the y-th type of part. Let be the part model value of the i-th type of part in the y-th type of part. Let be the part revision number of the i-th type of part within the y-th type of part. The weight of the sequence number position in the part number. Weighting of part number is the weight of the part revision number, and n is the total number of parts in the y-th part category.

[0029] In S4, the part material information includes the part base material information and the part reinforcement material information.

[0030] In S6, the node process information refers to the sequential processing of part processes, while the parallel process information refers to the part processes that do not require sequential processing.

[0031] Specifically, S7 includes:

[0032] S71. Compare any two parts in each category of the first classification information of the parts to obtain the node process difference coefficient.

[0033] S72. Obtain part classification information based on node process difference coefficient, part second classification information, part material information and parallel process information.

[0034] The difference coefficient of the node process is calculated using Equation 2;

[0035] Formula 2;

[0036] in, The node process difference coefficient between part a and part b within the same category of parts in the first part classification. Let $\frac{a}{b}$ be the number of identical node operations during the manufacturing of part a and part b. Let be the total number of node operations in the part operation process of part type a. This represents the total number of node operations in the part operation process of part type b.

[0037] S72 specifically includes:

[0038] S721. Based on the part material information, evaluate the material properties of the part and obtain part material performance data;

[0039] S722. Based on the material performance data of the parts, and through performance characteristic analysis, obtain the material characteristic label information of the parts;

[0040] S723. Traverse the material feature labels of each part in the second category of parts to obtain the calibration feature label information. The calibration feature label is the material feature label that appears most frequently.

[0041] S724. Based on the calibration feature label information, select the parts that contain calibration feature labels;

[0042] S725. Collect feature label information for parts containing calibration feature labels and obtain a feature label dataset. The feature label dataset includes feature label type information and feature label quantity information.

[0043] S726. Based on the feature label dataset, select feature labels whose number of feature labels exceeds the threshold as secondary labeling feature labels;

[0044] S727. Determine the weights of the primary and secondary calibration feature labels;

[0045] S728. Based on the weights of the calibration feature labels, the weights of the secondary calibration feature labels, and the parallel process information, obtain the part feature index;

[0046] S729. Obtain part classification information based on part feature index and part secondary classification information;

[0047] The component characteristic index is calculated using Equation 3;

[0048] Formula 3;

[0049] in, For part characteristic index, Let be the weight of the material feature label of the j-th part. Let m be the processing time of the j-th parallel operation of the part, m be the total number of material feature tags of the part, and h be the total number of parallel operations of the part.

[0050] S8 specifically includes:

[0051] S81. Based on node process information, parallel process information, and part classification information, evaluate the production priority of parts and obtain the part production priority index.

[0052] S82. Arrange the parts production priority index in descending order to obtain parts production priority information;

[0053] S83. Obtain raw material inventory information, which includes raw material type information, raw material quantity information, and raw material warehousing data;

[0054] S84. Obtain production material information based on raw material inventory information and parts material information;

[0055] S85. Obtain workshop production plan information based on part production priority information and production material information.

[0056] The production priority index for the aforementioned parts is calculated using Equation 4;

[0057] Equation 4;

[0058] in, Let g be the production priority index for the g-th type of part. Let g be the production quantity of the g-th type of part. Let g be the remaining delivery time for the g-th type of part. Let be the processing time for the k-th part. Let be the external time required for the material of the k-th part in the process. Let be the logistics time for the materials required for the k-th part's processing step. For correction items, This represents the total number of parts.

[0059] A production control system for an aerospace composite materials workshop includes an order planning management module, a material management module, a process configuration management module, a measured record management module, a production execution management module, an autoclave management module, a warehousing and logistics management module, a quality inspection management module, and a basic data management module that are electrically connected.

[0060] The order planning management module is used for contract order management, production planning, process document association, raw material requisition, work-in-process allocation, and monthly plan management.

[0061] The material management module is used for material warehousing, allocation, outbound, inventory warning, overdue warning, real-time display of remaining external time, and ledger query.

[0062] The process configuration management module is used for standard process extraction, process knowledge base establishment, and process configuration.

[0063] The measured record management module is used for maintaining basic data items of measured records, managing measured record templates, binding measured records to process documents, viewing measured records, and exporting reports.

[0064] The production execution management module is used for the digital management of the production process;

[0065] The autoclave management module is used for maintaining basic information of the autoclave, managing the autoclave discharge plan, binding parts to furnace components, and recording the autoclave operation process.

[0066] The warehouse and logistics management module is used for logistics barcode scanning and handover;

[0067] The quality inspection management module is used for first-piece inspection, process inspection, non-destructive inspection, finished product inspection, handling of non-conforming products, and printing of certificates of conformity during the production and processing process.

[0068] The basic data management module is used for basic data management and user permission management.

[0069] The production execution management module includes an electrically connected task dashboard management unit, a field execution unit, a work-in-process status monitoring unit, and an Andon system unit. The task dashboard management unit is used to display the production task list and view task information. The field execution unit is used to perform production processing based on the task list. The work-in-process status monitoring unit is used to perform combined condition queries on the current section, current process, current execution status, part quantity, and part status information of work-in-process. The Andon system unit is used for visual management and responding to abnormal issues on the production site.

[0070] The autoclave management module includes an electrically connected autoclave information management unit, an autoclave discharge plan management unit, a parts binding unit for furnace components, and an autoclave operation record unit. The autoclave information management unit is used to maintain the basic information of the autoclave. The autoclave discharge plan management unit is used to manage the discharge plan of parts to be put into the autoclave, select the parts to be put into the autoclave, and set the start time and end time of the autoclave entry plan. The parts binding unit for furnace components is used to bind and unbind the parts to the furnace. The autoclave operation record unit is used to record the equipment operation record, work-in-process inspection record, and autoclave entry and exit record during the operation of the autoclave.

[0071] The beneficial effects of this invention are mainly reflected in the following aspects:

[0072] 1. Compared with the prior art, the present invention improves the efficiency of workshop production control and management by effectively classifying parts, and also improves the stability and reliability of parts production quality.

[0073] 2. This invention classifies parts by using a basic difference coefficient, thereby improving the efficiency of workshop production control. By comparing any two parts in each category of the first classification information, further classification of parts is achieved.

[0074] 3. This invention classifies parts by using material feature tags, thereby improving the stability and reliability of parts production quality. By using a parts production priority index, it ensures the stability of parts materials and improves production efficiency.

[0075] 4. This invention, through the production execution management module, can visually display tasks and achieve quality traceability.

[0076] 5. This invention, through the autoclave management module, can ensure that autoclave data can be recorded in a timely manner, facilitating data traceability.

[0077] 6. This invention, through the warehouse logistics management module for barcode scanning and handover of logistics, can ensure the correctness, timeliness, and efficiency of warehousing, thereby improving logistics transportation efficiency. Attached Figure Description

[0078] The present invention will now be further described in detail with reference to the accompanying drawings and specific embodiments:

[0079] Figure 1 is a flowchart of the production control process of the present invention;

[0080] Figure 2 is a structural block diagram of the production control system of the present invention. Embodiments of the present invention

[0081] Example 1

[0082] Referring to Figure 1, a production control method for an aerospace composite materials workshop includes the following steps:

[0083] S1. Obtain production order information, which includes part model information and specific parameter information of the part;

[0084] S2. Match the production order information with the parts database of the workshop production to obtain the part drawing number information;

[0085] S3. Based on the part number setting rules, classify the production order information and obtain the first category information of the parts;

[0086] S4. Obtain part material information based on production order information;

[0087] S5. Based on the part drawing number information, associate the part drawing number with the process flow to obtain the part process information;

[0088] S6. Based on the part process information, obtain the node process information and parallel process information;

[0089] S7. Obtain part classification information based on part material information, part process information, part first classification information, and part second classification information;

[0090] S8. Obtain workshop production plan information based on node process information, parallel process information, and part classification information;

[0091] S9. Produce the parts according to the workshop production plan information.

[0092] This embodiment is the most basic implementation method. Compared with the prior art, by effectively classifying the parts, it not only improves the efficiency of workshop production control, but also improves the stability and reliability of parts production quality.

[0093] Example 2

[0094] Referring to Figure 1, a production control method for an aerospace composite materials workshop includes the following steps:

[0095] S1. Obtain production order information, which includes part model information and specific parameter information of the part;

[0096] S2. Match the production order information with the parts database of the workshop production to obtain the part drawing number information;

[0097] S3. Based on the part number setting rules, classify the production order information and obtain the first category information of the parts;

[0098] S4. Obtain part material information based on production order information;

[0099] S5. Based on the part drawing number information, associate the part drawing number with the process flow to obtain the part process information;

[0100] S6. Based on the part process information, obtain the node process information and parallel process information;

[0101] S7. Obtain part classification information based on part material information, part process information, part first classification information, and part second classification information;

[0102] S8. Obtain workshop production plan information based on node process information, parallel process information, and part classification information;

[0103] S9. Produce the parts according to the workshop production plan information.

[0104] In S2, the part drawing number information includes part serial number information, part model information, and part revision number information.

[0105] S3 specifically includes:

[0106] S31. Based on the part serial number information, obtain the part serial number feature bit information and the part serial number sequence bit information;

[0107] S32. Classify the parts according to the part serial number feature information to obtain the initial part classification information;

[0108] S33. Based on the part drawing number setting rules, obtain the weight of the part serial number sequence position, the weight of the part model number, and the weight of the part revision number;

[0109] S34. Evaluate the part drawing number information and obtain the basic difference coefficient of the part;

[0110] S35. Based on workshop production equipment information, obtain the basic difference coefficient threshold of the parts;

[0111] S36. Based on the basic difference coefficient and the threshold of the basic difference coefficient of the part, the initial classification information of the part is reclassified to obtain the first classification information of the part.

[0112] The basic difference coefficient of the parts is calculated using Equation 1;

[0113]

[0114] in, Let be the basic difference coefficient between part type x and part type y. Let x be the sequence number position of the part series number of the x-th type of part. Let x be the part model value of the xth type of part. Let x be the part revision number of the xth type of part. Let be the part serial number sequence position of the i-th type of part in the y-th type of part. Let be the part model value of the i-th type of part in the y-th type of part. Let be the part revision number of the i-th type of part within the y-th type of part. The weight of the sequence number position in the part number. Weighting of part number is the weight of the part revision number, and n is the total number of parts in the y-th part category.

[0115] In S4, the part material information includes the part base material information and the part reinforcement material information.

[0116] In S6, the node process information refers to the sequential processing of part processes, while the parallel process information refers to the part processes that do not require sequential processing.

[0117] Specifically, S7 includes:

[0118] S71. Compare any two parts in each category of the first classification information of the parts to obtain the node process difference coefficient.

[0119] S72. Obtain part classification information based on node process difference coefficient, part second classification information, part material information and parallel process information.

[0120] The difference coefficient of the node process is calculated using Equation 2;

[0121] Formula 2;

[0122] in, The node process difference coefficient between part a and part b within the same category of parts in the first part classification. Let $\frac{a}{b}$ be the number of identical node operations during the manufacturing of part a and part b. Let be the total number of node operations in the part operation process of part type a. This represents the total number of node operations in the part operation process of part type b.

[0123] S72 specifically includes:

[0124] S721. Based on the part material information, evaluate the material properties of the part and obtain part material performance data;

[0125] S722. Based on the material performance data of the parts, and through performance characteristic analysis, obtain the material characteristic label information of the parts;

[0126] S723. Traverse the material feature labels of each part in the second category of parts to obtain the calibration feature label information. The calibration feature label is the material feature label that appears most frequently.

[0127] S724. Based on the calibration feature label information, select the parts that contain calibration feature labels;

[0128] S725. Collect feature label information for parts containing calibration feature labels and obtain a feature label dataset. The feature label dataset includes feature label type information and feature label quantity information.

[0129] S726. Based on the feature label dataset, select feature labels whose number of feature labels exceeds the threshold as secondary labeling feature labels;

[0130] S727. Determine the weights of the primary and secondary calibration feature labels;

[0131] S728. Based on the weights of the calibration feature labels, the weights of the secondary calibration feature labels, and the parallel process information, obtain the part feature index;

[0132] S729. Obtain part classification information based on part feature index and part secondary classification information;

[0133] The component characteristic index is calculated using Equation 3;

[0134] Formula 3;

[0135] in, For part characteristic index, Let be the weight of the material feature label of the j-th part. Let m be the processing time of the j-th parallel operation of the part, m be the total number of material feature tags of the part, and h be the total number of parallel operations of the part.

[0136] S8 specifically includes:

[0137] S81. Based on node process information, parallel process information, and part classification information, evaluate the production priority of parts and obtain the part production priority index.

[0138] S82. Arrange the parts production priority index in descending order to obtain parts production priority information;

[0139] S83. Obtain raw material inventory information, which includes raw material type information, raw material quantity information, and raw material warehousing data;

[0140] S84. Obtain production material information based on raw material inventory information and parts material information;

[0141] S85. Obtain workshop production plan information based on part production priority information and production material information.

[0142] The production priority index for the aforementioned parts is calculated using Equation 4;

[0143] Equation 4;

[0144] in, Let g be the production priority index for the g-th type of part. Let g be the production quantity of the g-th type of part. Let g be the remaining delivery time for the g-th type of part. Let be the processing time for the k-th part. Let be the external time required for the material of the k-th part in the process. Let be the logistics time for the materials required for the k-th part's processing step. For correction items, This represents the total number of parts.

[0145] This embodiment is a preferred implementation method. It classifies parts by using the basic difference coefficient of parts, which improves the efficiency of workshop production control. By comparing any two parts in each category of the first classification information of parts, further classification of parts is achieved.

[0146] Classifying parts by using material feature tags improves the stability and reliability of part production quality. Using a part production priority index ensures the stability of part materials and improves production efficiency.

[0147] Example 3

[0148] Referring to Figure 2, a production control system for an aerospace composite materials workshop includes an order planning management module, a material management module, a process configuration management module, a measured record management module, a production execution management module, an autoclave management module, a warehousing and logistics management module, a quality inspection management module, and a basic data management module that are electrically connected.

[0149] The order planning management module is used for contract order management, production planning, process document association, raw material requisition, work-in-process allocation, and monthly plan management.

[0150] The material management module is used for material warehousing, allocation, outbound, inventory warning, overdue warning, real-time display of remaining external time, and ledger query.

[0151] The process configuration management module is used for standard process extraction, process knowledge base establishment, and process configuration.

[0152] The measured record management module is used for maintaining basic data items of measured records, managing measured record templates, binding measured records to process documents, viewing measured records, and exporting reports.

[0153] The production execution management module is used for the digital management of the production process;

[0154] The autoclave management module is used for maintaining basic information of the autoclave, managing the autoclave discharge plan, binding parts to furnace components, and recording the autoclave operation process.

[0155] The warehouse and logistics management module is used for logistics barcode scanning and handover;

[0156] The quality inspection management module is used for first-piece inspection, process inspection, non-destructive inspection, finished product inspection, handling of non-conforming products, and printing of certificates of conformity during the production and processing process.

[0157] The basic data management module is used for basic data management and user permission management.

[0158] This embodiment is another preferred implementation method. Through the production execution management module, tasks can be visualized and quality traceability can be achieved.

[0159] Example 4

[0160] Referring to Figure 2, a production control system for an aerospace composite materials workshop includes an order planning management module, a material management module, a process configuration management module, a measured record management module, a production execution management module, an autoclave management module, a warehousing and logistics management module, a quality inspection management module, and a basic data management module that are electrically connected.

[0161] The order planning management module is used for contract order management, production planning, process document association, raw material requisition, work-in-process allocation, and monthly plan management.

[0162] The material management module is used for material warehousing, allocation, outbound, inventory warning, overdue warning, real-time display of remaining external time, and ledger query.

[0163] The process configuration management module is used for standard process extraction, process knowledge base establishment, and process configuration.

[0164] The measured record management module is used for maintaining basic data items of measured records, managing measured record templates, binding measured records to process documents, viewing measured records, and exporting reports.

[0165] The production execution management module is used for the digital management of the production process;

[0166] The autoclave management module is used for maintaining basic information of the autoclave, managing the autoclave discharge plan, binding parts to furnace components, and recording the autoclave operation process.

[0167] The warehouse and logistics management module is used for logistics barcode scanning and handover;

[0168] The quality inspection management module is used for first-piece inspection, process inspection, non-destructive inspection, finished product inspection, handling of non-conforming products, and printing of certificates of conformity during the production and processing process.

[0169] The basic data management module is used for basic data management and user permission management.

[0170] The production execution management module includes an electrically connected task dashboard management unit, a field execution unit, a work-in-process status monitoring unit, and an Andon system unit. The task dashboard management unit is used to display the production task list and view task information. The field execution unit is used to perform production processing based on the task list. The work-in-process status monitoring unit is used to perform combined condition queries on the current section, current process, current execution status, part quantity, and part status information of work-in-process. The Andon system unit is used for visual management and responding to abnormal issues on the production site.

[0171] The autoclave management module includes an electrically connected autoclave information management unit, an autoclave discharge plan management unit, a parts binding unit for furnace components, and an autoclave operation record unit. The autoclave information management unit is used to maintain the basic information of the autoclave. The autoclave discharge plan management unit is used to manage the discharge plan of parts to be put into the autoclave, select the parts to be put into the autoclave, and set the start time and end time of the autoclave entry plan. The parts binding unit for furnace components is used to bind and unbind the parts to the furnace. The autoclave operation record unit is used to record the equipment operation record, work-in-process inspection record, and autoclave entry and exit record during the operation of the autoclave.

[0172] This embodiment is the best implementation method. Through the autoclave management module, it can be ensured that the autoclave data can be recorded in a timely manner, which facilitates data traceability.

[0173] By using the warehouse logistics management module to scan and transfer logistics data, we can ensure that the goods are received correctly, on time, and efficiently, thereby improving the efficiency of logistics transportation.

[0174] The process configuration management module of this invention is used for standard process extraction, process knowledge base establishment, and process configuration. The specific steps are as follows:

[0175] Extract all process names from the process documents, remove duplicates, and abstract them into standard processes;

[0176] Extract the core and common attributes of standard processes, such as whether work is reported, whether self-inspection is required, whether mutual inspection is required, the executing team and the inspection team, to form a process knowledge base, and realize flexible configuration of process attribute values ​​based on the process knowledge base;

[0177] By linking production plans with process documents and referencing the basic configuration of the process knowledge base, batch instantiation of work-in-process processes can be achieved, and on-site execution can carry out production activities according to the instantiated attribute requirements.

[0178] The production execution management module of this invention is used for the digital management of the production process. It displays a list of production tasks through a task dashboard management unit, enabling real-time viewing of task information, including the number of tasks to be completed at a certain stage, completion status, and progress. Through the work-in-process status query, it is used to perform combined condition queries on the current section, current process, current execution status, part quantity, and part status information of work-in-process. It can visualize the tasks and achieve quality traceability.

Claims

1. A production control method for an aerospace composite materials workshop, characterized in that, Includes the following steps: S1. Obtain production order information, which includes part model information and specific parameter information of the part; S2. Match the production order information with the parts database of the workshop production to obtain the part drawing number information; S3. Based on the part number setting rules, classify the production order information and obtain the first category information of the parts; S4. Obtain part material information based on production order information; S5. Based on the part drawing number information, associate the part drawing number with the process flow to obtain the part process information; S6. Based on the part process information, obtain the node process information and parallel process information; S7. Obtain part classification information based on part material information, part process information, part first classification information, and part second classification information; S8. Obtain workshop production plan information based on node process information, parallel process information, and part classification information; S9. Produce the parts according to the workshop production plan information; In S2, the part drawing number information includes part serial number information, part model information, and part revision number information; S3 specifically includes: S31. Based on the part serial number information, obtain the part serial number feature bit information and the part serial number sequence bit information; S32. Classify the parts according to the part serial number feature information to obtain the initial part classification information; S33. Based on the part drawing number setting rules, obtain the weight of the part serial number sequence position, the weight of the part model number, and the weight of the part revision number; S34. Evaluate the part drawing number information and obtain the basic difference coefficient of the part; S35. Based on workshop production equipment information, obtain the basic difference coefficient threshold of the parts; S36. Based on the basic difference coefficient of the parts and the threshold of the basic difference coefficient of the parts, the initial classification information of the parts is reclassified to obtain the first classification information of the parts. Specifically, S7 includes: S71. Compare any two parts in each category of the first classification information of the parts to obtain the node process difference coefficient. S72. Obtain part classification information based on node process difference coefficient, part second classification information, part material information and parallel process information.

2. The production control method for an aerospace composite materials workshop according to claim 1, characterized in that: The basic difference coefficient of the parts is calculated using Equation 1; in, Let be the basic difference coefficient between part type x and part type y. Let x be the sequence number position of the part series number of the x-th type of part. Let x be the part model value of the xth type of part. Let x be the part revision number of the xth type of part. Let be the part serial number sequence position of the i-th type of part in the y-th type of part. Let be the part model value of the i-th type of part in the y-th type of part. Let be the part revision number of the i-th type of part within the y-th type of part. The weight of the sequence number position in the part number. Weighting of part number is the weight of the part revision number, and n is the total number of parts in the y-th part category.

3. The production control method for an aerospace composite materials workshop according to claim 1, characterized in that: In S4, the part material information includes the part base material information and the part reinforcement material information.

4. The production control method for an aerospace composite materials workshop according to claim 1, characterized in that: In S6, the node process information refers to the sequential processing of part processes, while the parallel process information refers to the part processes that do not require sequential processing.

5. The production control method for an aerospace composite materials workshop according to claim 1, characterized in that: The node process difference coefficient is calculated using Equation 2; Formula 2; in, The node process difference coefficient between part a and part b within the same category of parts in the first part classification. Let $\frac{a}{b}$ be the number of identical node operations during the manufacturing of part a and part b. Let be the total number of node operations in the part operation process of part type a. This represents the total number of node operations in the part operation process of part type b.

6. The production control method for an aerospace composite materials workshop according to claim 1, characterized in that, S72 specifically includes: S721. Based on the part material information, evaluate the material properties of the part and obtain part material performance data; S722. Based on the material performance data of the parts, and through performance characteristic analysis, obtain the material characteristic label information of the parts; S723. Traverse the material feature labels of each part in the second category of parts to obtain the calibration feature label information. The calibration feature label is the material feature label that appears most frequently. S724. Based on the calibration feature label information, select the parts that contain calibration feature labels; S725. Collect feature label information for parts containing calibration feature labels and obtain a feature label dataset. The feature label dataset includes feature label type information and feature label quantity information. S726. Based on the feature label dataset, select feature labels whose number of feature labels exceeds the threshold as secondary labeling feature labels; S727. Determine the weights of the primary and secondary calibration feature labels; S728. Based on the weights of the calibration feature labels, the weights of the secondary calibration feature labels, and the parallel process information, obtain the part feature index; S729. Obtain part classification information based on part feature index and part secondary classification information.

7. A production control method for an aerospace composite materials workshop according to claim 6, characterized in that: The component characteristic index is calculated using Equation 3; Formula 3; in, For part characteristic index, Let be the weight of the material feature label of the j-th part. Let m be the processing time of the j-th parallel operation of the part, m be the total number of material feature tags of the part, and h be the total number of parallel operations of the part.

8. The production control method for an aerospace composite materials workshop according to claim 1, characterized in that, S8 specifically includes: S81. Based on node process information, parallel process information, and part classification information, evaluate the production priority of parts and obtain the part production priority index. S82. Arrange the parts production priority index in descending order to obtain parts production priority information; S83. Obtain raw material inventory information, which includes raw material type information, raw material quantity information, and raw material warehousing data; S84. Obtain production material information based on raw material inventory information and parts material information; S85. Obtain workshop production plan information based on part production priority information and production material information.

9. A production control method for an aerospace composite materials workshop according to claim 8, characterized in that: The production priority index for the aforementioned parts is calculated using Equation 4; Equation 4; in, Let g be the production priority index for the g-th type of part. Let g be the production quantity of the g-th type of part. Let g be the remaining delivery time for the g-th type of part. Let be the processing time for the k-th part. Let be the external time required for the material of the k-th part in the process. Let be the logistics time for the materials required for the k-th part's processing step. For correction items, This represents the total number of parts.

10. A production control system for an aerospace composite materials workshop, characterized in that: The production control method for aerospace composite workshops as described in claim 1 includes an order planning management module, a material management module, a process configuration management module, a measured record management module, a production execution management module, an autoclave management module, a warehousing and logistics management module, a quality inspection management module, and a basic data management module that are electrically connected. The order planning management module is used for contract order management, production planning, process document association, raw material requisition, work-in-process allocation, and monthly plan management. The material management module is used for material warehousing, allocation, outbound, inventory warning, overdue warning, real-time display of remaining external time, and ledger query. The process configuration management module is used for standard process extraction, process knowledge base establishment, and process configuration. The measured record management module is used for maintaining basic data items of measured records, managing measured record templates, binding measured records to process documents, viewing measured records, and exporting reports. The production execution management module is used for the digital management of the production process; The autoclave management module is used for maintaining basic information of the autoclave, managing the autoclave discharge plan, binding parts to furnace components, and recording the autoclave operation process. The warehouse and logistics management module is used for logistics barcode scanning and handover; The quality inspection management module is used for first-piece inspection, process inspection, non-destructive inspection, finished product inspection, handling of non-conforming products, and printing of certificates of conformity during the production and processing process. The basic data management module is used for basic data management and user permission management.

11. A production control system for an aerospace composite materials workshop according to claim 10, characterized in that: The production execution management module includes an electrically connected task dashboard management unit, a field execution unit, a work-in-process status monitoring unit, and an Andon system unit. The task dashboard management unit is used to display the production task list and view task information. The field execution unit is used to perform production processing based on the task list. The work-in-process status monitoring unit is used to perform combined condition queries on the current section, current process, current execution status, part quantity, and part status information of work-in-process. The Andon system unit is used for visual management and responding to abnormal issues on the production site.

12. The production control system for an aerospace composite materials workshop according to claim 10, characterized in that: The autoclave management module includes an electrically connected autoclave information management unit, an autoclave discharge plan management unit, a parts binding unit for furnace components, and an autoclave operation record unit. The autoclave information management unit is used to maintain the basic information of the autoclave. The autoclave discharge plan management unit is used to manage the discharge plan of parts to be put into the autoclave, select the parts to be put into the autoclave, and set the start time and end time of the autoclave entry plan. The parts binding unit for furnace components is used to bind and unbind the parts to the furnace. The autoclave operation record unit is used to record the equipment operation record, work-in-process inspection record, and autoclave entry and exit record during the operation of the autoclave.

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