An aviation composite material workshop production control method and system

Abstract

The present invention discloses a production control method and system for an aviation composite material workshop, belonging to the technical field of workshop production management. The production control method includes the following steps: S1, obtaining production order information; S2, obtaining part drawing number information; S3, classifying the production order information to obtain the first classification information of parts; S4, obtaining part material information according to the production order information; S5, obtaining part process information; S6, obtaining node process information and parallel process information according to the part process information; S7, obtaining part classification information; S8, obtaining workshop production plan information according to the node process information, parallel process information and part classification information; S9, producing parts according to the workshop production plan information. By effectively classifying the parts, the present invention not only improves the production control efficiency of the workshop, but also improves the stability and reliability of the part production quality.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent workshop production management, and particularly to a production control method and system for an aviation composite material workshop. Background Art

[0002] With the substantial increase in the production capacity of composite parts, the tasks in the composite material workshop have gradually changed from "multiple varieties, small batches" to "multiple varieties, large batches". There are still many manual processing procedures, and these procedures have not been digitally controlled. They mainly rely on manual methods and cannot meet the requirements of production efficiency and manufacturing quality. The production tasks in the composite material workshop have the characteristics of "parallel processing of multiple processes". The materials, processing hours, and processing contents used in each process vary greatly. There are situations where a large number of different process tasks of a composite part are processed simultaneously, involving the logistics transfer of different sections of the part and the simultaneous parallel logistics of multiple different types of parts.

[0003] At present, there are still many problems in the production control of the aviation composite material workshop. For example, it is impossible to analyze and plan production orders, accurately evaluate the parts to be produced, and divide the parts, resulting in low equipment utilization rate and high energy consumption; it is impossible to configure the part processing procedures, causing material waste and chaotic workshop production management problems.

[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, a digital manufacturing integrated execution platform from plan management, contract management, resource balancing, procurement management, production plan issuance, equipment status management, advanced production scheduling, production preparation, plan execution, quality inspection, man-hour management, exception handling, kanban management, alarm management, and inbound and outbound management is built.

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

[0006] In order to overcome the above-mentioned defects of the prior art, the present invention provides a production control method and system for an aviation composite material workshop. By effectively classifying the parts, the present invention not only improves the production control efficiency of the workshop, but also improves the stability and reliability of the part production quality.

[0007] The present invention is achieved by the following technical solutions:

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

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

[0010] S2. Correlate the production order information with the part database produced by the workshop to obtain part drawing number information;

[0011] S3. Classify the production order information based on the part drawing number setting rules to obtain the first part classification information;

[0012] S4. Obtain part material information according to the production order information;

[0013] S5. Correlate the part drawing number with the process flow according to the part drawing number information to obtain part process information;

[0014] S6. Obtain node process information and parallel process information according to the part process information;

[0015] S7. Obtain part classification information according to the part material information, part process information, first part classification information and second part classification information;

[0016] S8. Obtain workshop production plan information according to the node process information, parallel process information and part classification information;

[0017] S9. Produce 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. Obtain part serial number characteristic bit information and part serial number order bit information according to the part serial number information;

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

[0022] S33. Based on the part drawing number setting rules, obtain the weights of the part serial number order bit, part model and part revision number;

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

[0024] S35. Obtain the basic part difference coefficient threshold based on the workshop production equipment information;

[0025] S36. Reclassify the initial part classification information according to the part basic difference coefficient and the part basic difference coefficient threshold to obtain the first part classification information.

[0026] The part basic difference coefficient is calculated by Equation 1;

[0027] Equation 1;

[0028] Wherein, is the part basic difference coefficient between the x-th type of part and the y-th type of part, is the order position of the part serial number of the x-th type of part, is the part model value of the x-th type of part, is the part revision number of the x-th type of part, is the order position of the part serial number of the i-th part in the y-th type of part, is the part model value of the i-th part in the y-th type of part, is the part revision number of the i-th part in the y-th type of part, is the weight of the order position of the part serial number, is the weight of the part model, is the weight of the part revision number, and n is the total number of parts in the y-th type of part.

[0029] In S4, the part material information includes part basic material information and part reinforcing material information.

[0030] In S6, the node process information is the part process for sequential processing, and the parallel process information is the part process that does not require sequential processing.

[0031] S7 specifically includes:

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

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

[0034] The node process difference coefficient is calculated by Equation 2;

[0035] Equation 2;

[0036] Wherein, is the node process difference coefficient between the a-th part and the b-th part in the same type of part in the first part classification, is the number of the same node processes in the processing of the a-th part and the b-th part, $n_a$ is the total number of node processes in the part process of the $a$-th type of part, and $n_b$ is the total number of node processes in the part process of the $b$-th type of part.

[0037] Specifically, the S72 includes:

[0038] S721. Evaluate the part material performance according to the part material information to obtain part material performance data;

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

[0040] S723. Traverse the part material characteristic labels of each part in the second classification of parts to obtain calibrated characteristic label information, where the calibrated characteristic label is the part material characteristic label with the most occurrences;

[0041] S724. Select the parts containing the calibrated characteristic label based on the calibrated characteristic label information;

[0042] S725. Aggregate the characteristic label information of the parts containing the calibrated characteristic label to obtain a characteristic label data set, where the characteristic label data set includes characteristic label type information and characteristic label quantity information;

[0043] S726. Select the characteristic labels with the number of characteristic labels exceeding the threshold as secondary calibrated characteristic labels according to the characteristic label data set;

[0044] S727. Determine the weights of the calibrated characteristic label and the secondary calibrated characteristic label;

[0045] S728. Obtain the part characteristic index based on the weight of the calibrated characteristic label, the weight of the secondary calibrated characteristic label, and the parallel process information;

[0046] S729. Obtain part classification information according to the part characteristic index and the second classification information of the part;

[0047] The part characteristic index is calculated by Equation 3;

[0048] Equation 3;

[0049] where $P$ is the part characteristic index, $w_j$ is the weight of the $j$-th part material characteristic label of the part, $t_j$ is the processing time of the $j$-th parallel process of the part, $m$ is the total number of part material characteristic labels of the part, and $h$ is the total number of parallel processes of the part.

[0050] Specifically, the S8 includes:

[0051] S81. Evaluate the production priority status of parts according to the node process information, parallel process information, and part classification information, and obtain the part production priority index;

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

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

[0054] S84. Obtain the production material information according to the raw material inventory information and the part material information;

[0055] S85. Obtain the workshop production plan information according to the part production priority order information and the production material information.

[0056] The part production priority index is calculated by Equation 4;

[0057] Equation 4;

[0058] Wherein, is the part production priority index of the g-th part, is the production quantity of the g-th part, is the remaining delivery time of the g-th part, is the processing time of the k-th part process, is the external time of the part material required for the k-th part process, is the logistics time of the part material required for the k-th part process, is the correction term, is the total number of parts.

[0059] An aviation composite material workshop production control system includes an order plan 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 plan management module is used for contract order management, production plan compilation, process document association, raw material requisition application, in-process 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 process documents to measured records, 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 autoclaves, managing autoclave tank arrangement plans, binding parts with furnace parts, and recording the operation process of autoclaves;

[0066] The warehousing 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 unqualified inspection processes, and printing of certificates 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 board management unit, a field execution unit, a work-in-progress status monitoring unit, and an Andon system unit. The task board management unit is used to display the production task list and view task information. The field execution unit is used to carry out production and processing according to the task list. The work-in-progress status monitoring unit is used to query the current section, current process, current execution status, part quantity, and part status information of work-in-progress under combined conditions. The Andon system unit is used for visual management and responding to abnormal problems in the production site.

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

[0071] The beneficial effects of the present invention are mainly manifested in the following aspects:

[0072] 1. Compared with the prior art, the present invention effectively classifies parts, which not only improves the production control efficiency of the workshop, but also improves the stability and reliability of the production quality of parts.

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

[0074] 3. The present invention classifies parts by part material feature labels, thereby improving the stability and reliability of part production quality, and ensures the stability of part materials and improves production efficiency through the part production priority index.

[0075] 4. The present invention can visualize tasks and achieve quality traceability through the production execution management module.

[0076] 5. The present invention, through the autoclave management module, can ensure that the autoclave data can be recorded in time, which is convenient for data tracing.

[0077] 6. The present invention can ensure the correct, timely and efficient warehousing through the warehousing logistics management module to scan the logistics code and hand over the logistics, thereby improving the logistics transportation efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

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

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

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

[0081] Example 1

[0082] See also Figure 1 , a production control method for an aviation composite workshop, comprising the following steps:

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

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

[0085] S3. Classify the production order information based on the part drawing number setting rules to obtain the first classification information of the part;

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

[0087] S5. According to the part drawing number information, the part drawing number is associated with the process flow to obtain the part process information;

[0088] S6. Obtain the node process information and parallel process information according to the part process information;

[0089] S7. Obtain the part classification information according to the part material information, part process information, part first classification information and part second classification information;

[0090] S8. Obtain the workshop production plan information according to the 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 mode. Compared with the prior art, by effectively classifying the parts, not only the efficiency of workshop production control is improved, but also the stability and reliability of part production quality are improved.

[0093] Embodiment 2

[0094] See Figure 1 , a production control method for an aviation composite material workshop, including the following steps:

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

[0096] S2. Correlate the production order information with the part database produced by the workshop to obtain the part drawing number information;

[0097] S3. Classify the production order information based on the part drawing number setting rules to obtain the part first classification information;

[0098] S4. Obtain the part material information according to the production order information;

[0099] S5. Correlate the part drawing number with the process flow according to the part drawing number information to obtain the part process information;

[0100] S6. Obtain the node process information and parallel process information according to the part process information;

[0101] S7. Obtain the part classification information according to the part material information, part process information, part first classification information and part second classification information;

[0102] S8. Obtain the workshop production plan information according to the 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. Obtain the part serial number characteristic bit information and the part serial number sequence bit information according to the part serial number information;

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

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

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

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

[0111] S36. Re-classify the initial part classification information according to the basic part difference coefficient and the basic part difference coefficient threshold to obtain the first part classification information.

[0112] The basic part difference coefficient is calculated by Equation 1;

[0113] Equation 1;

[0114] Wherein, is the basic part difference coefficient between the x-th part and the y-th type of parts, is the part serial number sequence bit of the x-th part, is the part model value of the x-th part, is the part revision number of the x-th part, is the part serial number sequence bit of the i-th part in the y-th type of parts, is the part model value of the i-th part in the y-th type of parts, is the part revision number of the i-th part in the y-th type of parts, is the weight of the part serial number sequence bit, is the weight of the part model, is the weight of the part revision number, and n is the total number of parts in the y-th type of parts.

[0115] In S4, the part material information includes the basic part material information and the part reinforcing material information.

[0116] In S6, the node process information is the part process for sequential processing, and the parallel process information is the part process that does not require sequential processing.

[0117] S7 specifically includes:

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

[0119] S72. Based on the node process difference coefficient, the second part classification information, the part material information, and the parallel process information, obtain the part classification information.

[0120] The node process difference coefficient is calculated by Equation 2;

[0121] Equation 2;

[0122] Where, is the node process difference coefficient between the a-th part and the b-th part in the same category of the first part classification, is the number of the same node processes during the processing of the a-th part and the b-th part, is the total number of node processes in the part processes of the a-th part, is the total number of node processes in the part processes of the b-th part.

[0123] The specific steps of S72 include:

[0124] S721. Evaluate the part material performance according to the part material information to obtain the part material performance data;

[0125] S722. Based on the performance characteristic analysis according to the part material performance data, obtain the part material characteristic label information;

[0126] S723. Traverse the part material characteristic labels of each part in the second part classification to obtain the calibrated characteristic label information, and the calibrated characteristic label is the part material characteristic label with the most occurrences;

[0127] S724. Select the parts containing the calibrated characteristic label based on the calibrated characteristic label information;

[0128] S725. Aggregate the characteristic label information of the parts containing the calibrated characteristic label to obtain the characteristic label data set, and the characteristic label data set includes the characteristic label type information and the characteristic label quantity information;

[0129] S726. Select the characteristic labels whose quantity of characteristic labels exceeds the threshold as the secondary calibrated characteristic labels according to the characteristic label data set;

[0130] S727. Determine the weights of the calibrated characteristic labels and the weights of the secondary calibrated characteristic labels;

[0131] S728. Obtain the part feature index based on the weights of the calibration feature tags, the weights of the secondary calibration feature tags, and the parallel process information;

[0132] S729. Obtain the part classification information according to the part feature index and the second part classification information;

[0133] The part feature index is calculated by Equation 3;

[0134] Equation 3;

[0135] Where, is the part feature index, is the weight of the j-th part material feature tag of the part, is the processing time of the j-th parallel process of the part, m is the total number of part material feature tags of the part, and h is the total number of parallel processes of the part.

[0136] The specific steps of S8 include:

[0137] S81. Evaluate the production priority status of the part according to the node process information, the parallel process information, and the part classification information, and obtain the part production priority index;

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

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

[0140] S84. Obtain the production material information according to the raw material inventory information and the part material information;

[0141] S85. Obtain the workshop production plan information according to the part production priority order information and the production material information.

[0142] The part production priority index is calculated by Equation 4;

[0143] Equation 4;

[0144] Where, is the part production priority index of the g-th part, is the production quantity of the g-th part, is the remaining delivery time of the g-th part, is the processing time of the k-th part process, is the external time of the part material required for the k-th part process, is the logistics time of the part material required for the k-th part process, Is a correction item, Is the total number of parts.

[0145] This embodiment is a preferred embodiment. By classifying parts through the part basic difference coefficient, the efficiency of workshop production control is improved. By comparing any two parts in each category of the first classification information of parts, further classification of parts is realized.

[0146] By classifying parts through part material feature labels, the stability and reliability of part production quality are improved. Through the part production priority index, the stability of part materials is ensured and production efficiency is improved.

[0147] Embodiment 3

[0148] See Figure 2 , an aviation composite material workshop production control system, including an order plan 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 plan management module is used for contract order management, production plan compilation, process document association, raw material requisition application, in-process operation allocation, and monthly plan management;

[0150] The material management module is used for material warehousing, distribution, 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 process documents to measured records, viewing measured records, and exporting reports;

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

[0154] The autoclave management module is used for maintaining autoclave basic information, managing autoclave tank arrangement plans, binding parts to furnace parts, and recording the autoclave operation process;

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

[0156] The quality inspection management module is used for first-piece inspection, process inspection, non-destructive inspection, finished product inspection, handling of unqualified inspection processes, and certificate printing 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 embodiment. Through the production execution management module, tasks can be visually displayed and quality traceability can be achieved.

[0159] Embodiment 4

[0160] See Figure 2 , an aviation composite material workshop production control system, including an order plan management module, a material management module, a process configuration management module, a measured record management module, a production execution management module, a autoclave management module, a warehousing and logistics management module, a quality inspection management module, and a basic data management module which are electrically connected;

[0161] The order plan management module is used for contract order management, production plan compilation, process document association, raw material requisition application, in-process operation allocation, and monthly plan management;

[0162] The material management module is used for material warehousing, distribution, 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 maintenance of basic data items of measured records, management of measured record templates, binding of process documents to measured records, viewing of measured records, and report export;

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

[0166] The autoclave management module is used for maintenance of autoclave basic information, autoclave tank arrangement plan management, part binding of furnace parts, and autoclave operation process record;

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

[0168] The quality inspection management module is used for first-piece inspection, process inspection, non-destructive inspection, finished product inspection, handling of unqualified inspection processes, and certificate printing 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 board management unit, a field execution unit, a work-in-process status monitoring unit and an andon system unit. The task board management unit is used to display the production task list and view task information. The field execution unit is used to perform production and processing according to the task list. The work-in-process status monitoring unit is used to perform combined conditional queries on the current work section, current process, current execution status, part quantity and part status information of the work-in-process. The andon system unit is used for visual management and response to abnormal problems at 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 and an autoclave operation recording 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 the 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 is used to bind and unbind the parts with the autoclave. The autoclave operation recording unit is used to record the equipment operation record, the work-in-progress inspection record and the entry and exit record of the autoclave operation process.

[0172] This embodiment is the best implementation mode. Through the autoclave management module, it can ensure that the autoclave data can be recorded in time to facilitate data tracing.

[0173] The warehouse logistics management module can scan and hand over logistics to ensure the correct, timely and efficient warehousing, thereby improving the efficiency of logistics transportation.

[0174] The process configuration management module of the present 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 process files, remove duplicates and abstract them into standard processes;

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

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

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

Claims

1. A production control method for an aviation composite material workshop, characterized in that It includes the following steps: S1. Obtain production order information, where the production order information includes part model information and specific part parameter information; S2. Correlate the production order information with the part database produced by the workshop to obtain part drawing number information; S3. Classify the production order information based on the part drawing number setting rules to obtain the first part classification information; S4. Obtain part material information according to the production order information; S5. Correlate the part drawing number with the process flow according to the part drawing number information to obtain part process information; S6. Obtain node process information and parallel process information according to the part process information; S7. Obtain part classification information according to the part material information, part process information, the first part classification information and the second part classification information; S8. Obtain the workshop production plan information according to the node process information, parallel process information and part classification information; S9. Produce 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. Obtain the part serial number characteristic bit information and the part serial number sequence bit information according to the part serial number information; S32. Classify the parts according to the part serial number characteristic bit information to obtain the initial part classification information; S33. Based on the part drawing number setting rules, obtain the weights of the part serial number sequence bit, the weight of the part model and the weight of the part revision number; S34. Evaluate the part drawing number information to obtain the basic part difference coefficient; S35. Based on the workshop production equipment information, obtain the basic part difference coefficient threshold; S36. Re-classify the initial part classification information according to the basic part difference coefficient and the basic part difference coefficient threshold to obtain the first part classification information; S7 specifically includes: S71. Compare any two parts in each category of the first part classification information to obtain the node process difference coefficient; S72. Obtain part classification information based on the node process difference coefficient, the second part classification information, the part material information and the parallel process information.

2. The production control method for an aviation composite material workshop according to claim 1, wherein: The basic part difference coefficient is calculated by formula 1; Formula 1; Among them, is the basic part difference coefficient between the x-th part and the y-th type of parts, is the order position of the part serial number of the x-th part, is the part model value of the x-th part, is the part revision number of the x-th part, is the order position of the part serial number of the i-th part in the y-th type of parts, is the part model value of the i-th part in the y-th type of parts, is the part revision number of the i-th part in the y-th type of parts, is the weight of the order position of the part serial number, is the weight of the part model, is the weight of the part revision number, and n is the total number of parts in the y-th type of parts.

3. The production control method for an aviation composite material workshop according to claim 1, wherein: In S4, the part material information includes basic part material information and part reinforcing material information.

4. A production control method for an aviation composite material workshop according to claim 1, characterized in that: In S6, the node process information is the part process for sequential processing, and the parallel process information is the part process that does not require sequential processing.

5. The production control method for an aviation composite material workshop according to claim 1, wherein: The node process difference coefficient is calculated by formula 2; Formula 2; Among them, is the node process difference coefficient between the ath part and the bth part among the parts of the first classification of parts, is the number of the same node processes during the processing of the ath part and the bth part, is the total number of node processes in the part process of the ath part, is the total number of node processes in the part process of the bth part.

6. The production control method for an aviation composite material workshop according to claim 1, wherein, S72 specifically includes: S721. Evaluate the part material performance according to the part material information to obtain part material performance data; S722. Based on the performance characteristic analysis, obtain the part material characteristic label information according to the part material performance data; S723. Traverse the part material characteristic labels of each part in the second part classification to obtain the calibrated characteristic label information, and the calibrated characteristic label is the part material characteristic label with the most occurrences; S724. Select the parts containing the calibrated characteristic label based on the calibrated characteristic label information; S725. Aggregate the feature label information of the parts containing the calibration feature labels to obtain a feature label data set, where the feature label data set includes feature label type information and feature label quantity information; S726. Select, according to the feature label data set, the feature labels whose quantity of feature labels exceeds the threshold as secondary calibration feature labels; S727. Determine the weights of the calibration feature labels and the weights of the 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. According to the part feature index and the second classification information of the part, obtain the part classification information.

7. A production control method for an aviation composite material workshop according to claim 6, characterized in that: The part feature index is calculated by Equation 3; Formula 3; Among them, is the part feature index, is the weight of the j-th part material feature label of the part, is the processing time of the j-th parallel process of the part. m is the total number of part material feature labels of the part, and h is the total number of parallel processes of the part.

8. The production control method for an aviation composite material workshop according to claim 1, wherein, The specific steps of S8 include: S81. Evaluate the production priority status of the parts according to the node process information, parallel process information, and part classification information to obtain the part production priority index; S82. Arrange the part production priority indexes in descending order to obtain the part production priority order information; S83. Obtain the raw material inventory information, where the raw material inventory information includes raw material type information, raw material quantity information, and raw material warehousing data; S84. According to the raw material inventory information and the part material information, obtain the production material information; S85. According to the part production priority order information and the production material information, obtain the workshop production plan information.

9. The production control method for an aviation composite material workshop according to claim 8, characterized in that: The part production priority index is calculated by Equation 4; Formula 4; Among them, is the priority index for the production of the g-th type of part, is the production quantity of the g-th type of part, is the remaining delivery time of the g-th type of part, is the processing time of the k-th part process, is the external time of the part materials required for the k-th part process, is the logistics time of the part materials required for the k-th part process, is the correction term, is the total number of parts.

10. An aviation composite material workshop production control system, characterized in that: Adopt the aerospace composite material workshop production control method as described in Claim 1, where the system includes an order plan 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 plan management module is used for contract order management, production plan compilation, process document association, raw material requisition application, in-process operation 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 maintenance of basic data items of measured records, management of measured record templates, binding of process documents to measured records, viewing of measured records, and report export; The production execution management module is used for digital management of the production process; The autoclave management module is used for autoclave basic information maintenance, autoclave tank arrangement plan management, binding of parts to furnace parts, and autoclave operation process record; The warehousing and logistics management module is used for logistics barcode handover; The quality inspection management module is used for first-piece inspection, process inspection, non-destructive inspection, finished product inspection, processing of unqualified inspection processes, and certificate printing during the production and processing process; The basic data management module is used for basic data management and user permission management.

11. An aviation composite material workshop production control system according to claim 10, characterized in that: The production execution management module includes a task board management unit, a field execution unit, a work-in-progress status monitoring unit, and an Andon system unit that are electrically connected. The task board 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-progress 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 the work-in-progress. The Andon system unit is used for visual management and responding to abnormal problems in the production site.

12. The production control system for an aviation composite material workshop according to claim 10, wherein: The autoclave management module includes an autoclave information management unit, an autoclave tank arrangement plan management unit, a part binding furnace parts unit, and an autoclave operation record unit that are electrically connected. The autoclave information management unit is used to maintain the basic information of the autoclave. The autoclave tank arrangement plan management unit is used to manage the tank arrangement plan for the 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 tank arrangement plan. The part binding furnace parts unit is used for binding and unbinding the furnace parts. The autoclave operation record unit is used to record the equipment operation record, work-in-progress inspection record, and tank-in and tank-out record during the operation of the autoclave.

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