Aviation composite material workshop production management and control method and system

Abstract

The invention discloses an aviation composite material workshop production control method and system, and belongs to the technical field of workshop production management, the production control method comprises the following steps: S1, obtaining production order information; s2, acquiring part drawing number information; s3, classifying the production order information to obtain first classification information of the parts; s4, acquiring part material information according to the production order information; s5, acquiring part process information; s6, acquiring node process information and parallel process information according to the part process information; s7, acquiring part classification information; s8, obtaining workshop production plan information according to the node process information, the parallel process information and the part classification information; and S9, producing the parts according to the workshop production plan information. The parts are effectively classified, the workshop production management and control efficiency is improved, and the stability and reliability of the part production quality are improved.

Description

Technical Field

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

[0002] With the substantial increase in the production capacity of composite parts, the tasks of composite material workshops have gradually changed from "multiple varieties, small batches" to "multiple varieties, large batches". There are still many manual processing procedures. Such procedures 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 of composite material workshops have the characteristics of "multiple processes in parallel". The materials, processing hours and processing contents used in each process vary greatly. A large number of different process tasks are processed simultaneously for a composite part, involving logistics twists in different sections of the parts and the simultaneous parallel logistics of multiple different types of parts.

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

[0004] A 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 from planning management, contract management, resource balancing, procurement management, production plan issuance, equipment status management, advanced scheduling, production preparation, plan execution, quality inspection, working time management, exception handling, kanban management, alarm management and warehousing management.

[0005] The digital manufacturing integrated execution platform disclosed in the patent document solves the full digital production management from planning, procurement, execution to warehousing, and can meet 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 defects of the above-mentioned prior art, the present invention provides an aviation composite workshop production control method and system. The present invention not only improves the workshop production control efficiency but also improves the stability and reliability of part production quality by effectively classifying parts.

[0007] The present invention is achieved through the following technical solutions: A production control method for an aviation composite material workshop comprises the following steps: S1. Obtain production order information, where the production order information includes part model information and part specific parameter information; S2. Match the production order information with the parts database produced by the workshop to obtain the part drawing number information; S3. Classify the production order information based on the part drawing number setting rules to obtain the first classification information of the part; S4. Obtain part material information based on production order information; S5. According to the part drawing number information, the part drawing number is associated with the process flow to obtain the part process information; S6. Obtain node process information and parallel process information according to the part process information; S7, obtaining part classification information according to 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 parts according to the workshop production plan information.

[0008] In S2, the part drawing number information includes part serial number information, part model information and part revision number information.

[0009] The S3 specifically includes: S31, obtaining part serial number feature bit information and part serial number sequence bit information according to the part serial number information; S32, classifying the parts according to the characteristic bit information of the part serial number, and obtaining initial classification information of the parts; S33, based on the part drawing number setting rule, obtaining the weight of the part serial number sequence, the weight of the part model, and the weight of the part revision number; S34, evaluating the part drawing number information to obtain the part basic difference coefficient; S35. Based on the workshop production equipment information, obtain the part basic difference coefficient threshold; S36. Reclassify the initial classification information of the parts according to the basic difference coefficient of the parts and the basic difference coefficient threshold of the parts to obtain the first classification information of the parts.

[0010] The part basis difference coefficient is calculated by formula 1; Formula 1; in, is the part basis difference coefficient between the x-th part and the y-th part, The part serial number sequence of the x-th part. is the part model value of the x-th part, is the part revision number of the xth part, is the part serial number sequence of the ith part in the yth category 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 ith part in the yth category of parts, is the weight of the part serial number sequence, 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 yth category.

[0011] In S4, the part material information includes part basic material information and part reinforcement material information.

[0012] In S6, the node process information is the part process of sequential processing, and the parallel process information is the part process that does not need to be processed sequentially.

[0013] The S7 specifically includes: S71, comparing any two parts in each category of the first classification information of parts to obtain a node process difference coefficient; S72. Obtain part classification information based on the node process difference coefficient, the second classification information of the part, the part material information and the parallel process information.

[0014] The node process difference coefficient is calculated by formula 2; Formula 2; in, is the node process difference coefficient of the a-th part and the b-th part in the same category of parts in the first classification of parts, is the number of identical node processes in the processing of type a and type b parts, is the total number of node processes in the part process of type a part, is the total number of node processes in the part process of the b-th part.

[0015] The S72 specifically includes: S721. Evaluate the material performance of the parts according to the material information of the parts and obtain the material performance data of the parts; S722. Obtaining part material characteristic label information based on part material performance data and performance characteristic analysis; S723, traversing the part material feature label of each part in the second part classification, and obtaining calibration feature label information, where the calibration feature label is the part material feature label that appears the most times; S724, based on the calibration feature tag information, select the parts containing the calibration feature tag; S725, collecting feature label information of the parts containing the calibrated 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, selecting feature labels whose number exceeds a threshold value as secondary calibration feature labels according to the feature label data set; S727, determining the weight of the calibration feature tag and the weight of the secondary calibration feature tag; S728, obtaining a part feature index based on the weight of the calibration feature tag, the weight of the secondary calibration feature tag, and the parallel process information; S729, obtaining part classification information according to the part feature index and the second classification information of the part; The part characteristic index is calculated by formula 3; Formula 3; in, is the part feature index, is the weight of the material feature label of the jth part, is the processing time of the jth 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.

[0016] The S8 specifically includes: S81. Evaluate the production priority status of the parts according to the node process information, the parallel process information and the parts classification information, and obtain the parts production priority index; S82, arranging the parts production priority indexes in descending order to obtain parts production priority information; S83, obtaining raw material inventory information, the raw material inventory information including raw material type information, raw material quantity information and raw material storage data; S84. Obtain production material information based on raw material inventory information and parts material information; S85. Obtain workshop production plan information based on parts production priority information and production material information.

[0017] The part production priority index is calculated by formula 4; Formula 4; in, is the production priority index of the g-th part, is the production quantity of the g-th part, is the remaining time for the delivery of type g part, is the processing time of the kth part process, is the external time of part materials 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.

[0018] An aviation composite material workshop production control system includes an electrically connected order planning management module, a material management module, a process configuration management module, a measurement record management module, a production execution management module, an autoclave management module, a storage logistics management module, a quality inspection management module and a basic data management module; The order plan management module is used for contract order management, production plan compilation, process document association, raw material collection application, work-in-process process allocation and monthly plan management; The material management module is used for material warehousing, allocation, outbound delivery, 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 process files to measured records, viewing measured records and exporting reports; 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 discharge plan management, parts binding with furnace parts and autoclave operation process record; The warehousing logistics management module is used for logistics code scanning and handover; The quality inspection management module is used for first-piece inspection, process inspection, non-destructive inspection, finished product inspection, unqualified inspection process handling and certificate printing in the production process; The basic data management module is used for basic data management and user authority management.

[0019] 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.

[0020] 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.

[0021] The beneficial effects of the present invention are mainly manifested in the following aspects: 1. Compared with the prior art, the present invention not only improves the efficiency of workshop production control, but also improves the stability and reliability of parts production quality by effectively classifying parts.

[0022] 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.

[0023] 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.

[0024] 4. The present invention can visualize tasks and achieve quality traceability through the production execution management module.

[0025] 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.

[0026] 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

[0027] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments: Figure 1 This is a flowchart of the production control of the present invention; Figure 2 It is a structural block diagram of the production control system of the present invention. DETAILED DESCRIPTION

[0028] Example 1 See also Figure 1 , a production control method for an aviation composite workshop, comprising the following steps: S1. Obtain production order information, where the production order information includes part model information and part specific parameter information; S2. Match the production order information with the parts database produced by the workshop to obtain the part drawing number information; S3. Classify the production order information based on the part drawing number setting rules to obtain the first classification information of the part; S4. Obtain part material information based on production order information; S5. According to the part drawing number information, the part drawing number is associated with the process flow to obtain the part process information; S6. Obtain node process information and parallel process information according to the part process information; S7, obtaining part classification information according to 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 parts according to the workshop production plan information.

[0029] This embodiment is the most basic implementation method. Compared with the prior art, by effectively classifying parts, not only the efficiency of workshop production control is improved, but also the stability and reliability of parts production quality are improved.

[0030] Example 2 See also Figure 1 , a production control method for an aviation composite workshop, comprising the following steps: S1. Obtain production order information, where the production order information includes part model information and part specific parameter information; S2. Match the production order information with the parts database produced by the workshop to obtain the part drawing number information; S3. Classify the production order information based on the part drawing number setting rules to obtain the first classification information of the part; S4. Obtain part material information based on production order information; S5. According to the part drawing number information, the part drawing number is associated with the process flow to obtain the part process information; S6. Obtain node process information and parallel process information according to the part process information; S7, obtaining part classification information according to 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 parts according to the workshop production plan information.

[0031] In S2, the part drawing number information includes part serial number information, part model information and part revision number information.

[0032] The S3 specifically includes: S31, obtaining part serial number feature bit information and part serial number sequence bit information according to the part serial number information; S32, classifying the parts according to the characteristic bit information of the part serial number, and obtaining initial classification information of the parts; S33, based on the part drawing number setting rule, obtaining the weight of the part serial number sequence, the weight of the part model, and the weight of the part revision number; S34, evaluating the part drawing number information to obtain the part basic difference coefficient; S35. Based on the workshop production equipment information, obtain the part basic difference coefficient threshold; S36. Reclassify the initial classification information of the parts according to the basic difference coefficient of the parts and the basic difference coefficient threshold of the parts to obtain the first classification information of the parts.

[0033] The part basis difference coefficient is calculated by formula 1; Formula 1; in, is the part basis difference coefficient between the x-th part and the y-th part, The part serial number sequence of the x-th part. is the part model value of the x-th part, is the part revision number of the xth part, is the part serial number sequence of the ith part in the yth category 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 ith part in the yth category of parts, is the weight of the part serial number sequence, 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 yth category.

[0034] In S4, the part material information includes part basic material information and part reinforcement material information.

[0035] In S6, the node process information is the part process of sequential processing, and the parallel process information is the part process that does not need to be processed sequentially.

[0036] The S7 specifically includes: S71, comparing any two parts in each category of the first classification information of parts to obtain a node process difference coefficient; S72. Obtain part classification information based on the node process difference coefficient, the second classification information of the part, the part material information and the parallel process information.

[0037] The node process difference coefficient is calculated by formula 2; Formula 2; in, is the node process difference coefficient of the a-th part and the b-th part in the same category of parts in the first classification of parts, is the number of identical node processes in the processing of type a and type b parts, is the total number of node processes in the part process of type a part, is the total number of node processes in the part process of the b-th part.

[0038] The S72 specifically includes: S721. Evaluate the material performance of the parts according to the material information of the parts and obtain the material performance data of the parts; S722. Obtaining part material characteristic label information based on part material performance data and performance characteristic analysis; S723, traversing the part material feature label of each part in the second part classification, and obtaining calibration feature label information, where the calibration feature label is the part material feature label that appears the most times; S724, based on the calibration feature tag information, select the parts containing the calibration feature tag; S725, collecting feature label information of the parts containing the calibrated 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, selecting feature labels whose number exceeds a threshold value as secondary calibration feature labels according to the feature label data set; S727, determining the weight of the calibration feature tag and the weight of the secondary calibration feature tag; S728, obtaining a part feature index based on the weight of the calibration feature tag, the weight of the secondary calibration feature tag, and the parallel process information; S729, obtaining part classification information according to the part feature index and the second classification information of the part; The part characteristic index is calculated by formula 3; Formula 3; in, is the part feature index, is the weight of the material feature label of the jth part, is the processing time of the jth 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.

[0039] The S8 specifically includes: S81. Evaluate the production priority status of the parts according to the node process information, the parallel process information and the parts classification information, and obtain the parts production priority index; S82, arranging the parts production priority indexes in descending order to obtain parts production priority information; S83, obtaining raw material inventory information, the raw material inventory information including raw material type information, raw material quantity information and raw material storage data; S84. Obtain production material information based on raw material inventory information and parts material information; S85. Obtain workshop production plan information based on parts production priority information and production material information.

[0040] The part production priority index is calculated by formula 4; Formula 4; in, is the production priority index of the g-th part, is the production quantity of the g-th part, is the remaining time for the delivery of type g part, is the processing time of the kth part process, is the external time of part materials 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.

[0041] This embodiment is a preferred implementation method. Parts are classified by basic difference coefficients of parts, which improves the efficiency of workshop production control. Further classification of parts is achieved by comparing any two parts in each category of the first classification information of parts.

[0042] Classifying parts by part material feature labels improves the stability and reliability of part production quality. The part production priority index ensures the stability of part materials and improves production efficiency.

[0043] Example 3 See also Figure 2, an aviation composite material workshop production control system, including an electrically connected order planning management module, a material management module, a process configuration management module, a measurement 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; The order plan management module is used for contract order management, production plan compilation, process document association, raw material collection application, work-in-process process allocation and monthly plan management; The material management module is used for material warehousing, allocation, outbound delivery, 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 process files to measured records, viewing measured records and exporting reports; 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 discharge plan management, parts binding with furnace parts and autoclave operation process record; The warehousing logistics management module is used for logistics code scanning and handover; The quality inspection management module is used for first-piece inspection, process inspection, non-destructive inspection, finished product inspection, unqualified inspection process handling and certificate printing in the production process; The basic data management module is used for basic data management and user authority management.

[0044] This embodiment is another preferred implementation method. Through the production execution management module, tasks can be displayed visually to achieve quality traceability.

[0045] Example 4 See also Figure 2 , an aviation composite material workshop production control system, including an electrically connected order planning management module, a material management module, a process configuration management module, a measurement 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; The order plan management module is used for contract order management, production plan compilation, process document association, raw material collection application, work-in-process process allocation and monthly plan management; The material management module is used for material warehousing, allocation, outbound delivery, 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 process files to measured records, viewing measured records and exporting reports; 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 discharge plan management, parts binding with furnace parts and autoclave operation process record; The warehousing logistics management module is used for logistics code scanning and handover; The quality inspection management module is used for first-piece inspection, process inspection, non-destructive inspection, finished product inspection, unqualified inspection process handling and certificate printing in the production process; The basic data management module is used for basic data management and user authority management.

[0046] 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.

[0047] 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.

[0048] 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.

[0049] 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.

[0050] 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: Extract all process names from process files, remove duplicates and abstract them into standard processes; 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; 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.

[0051] The production execution management module of the present invention is used for the digital management of the production process. The production task list is displayed through the task board management unit, so that the task information can be viewed in real time, including the number of tasks to be completed at a certain stage, the completion status and the completion progress; through the work-in-progress status query, it is used to perform combined conditional query on the current section of the work-in-progress, the current process, the current execution status, the number of parts and the part status information; it can visualize the tasks and realize quality traceability.

Claims

1. A production control method for an aviation composite material workshop, characterized in that: The following steps are involved: S1. Obtain production order information, where the production order information includes part model information and part specific parameter information; S2. Match the production order information with the parts database produced by the workshop to obtain the part drawing number information; S3. Classify the production order information based on the part drawing number setting rules to obtain the first classification information of the part; S4. Obtain part material information based on production order information; S5. According to the part drawing number information, the part drawing number is associated with the process flow to obtain the part process information; S6. Obtain node process information and parallel process information according to the part process information; S7, obtaining part classification information according to 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 parts according to the workshop production plan information.

2. The method for production control of an aviation composite material workshop according to claim 1, characterized in that: In S2, the part drawing number information includes part serial number information, part model information and part revision number information.

3. The method for production control of an aviation composite material workshop according to claim 2, characterized in that: The S3 specifically includes: S31, obtaining part serial number feature bit information and part serial number sequence bit information according to the part serial number information; S32, classifying the parts according to the characteristic bit information of the part serial number, and obtaining initial classification information of the parts; S33, based on the part drawing number setting rule, obtaining the weight of the part serial number sequence, the weight of the part model, and the weight of the part revision number; S34, evaluating the part drawing number information to obtain the part basic difference coefficient; S35. Based on the workshop production equipment information, obtain the part basic difference coefficient threshold; S36. Reclassify the initial classification information of the parts according to the basic difference coefficient of the parts and the basic difference coefficient threshold of the parts to obtain the first classification information of the parts.

4. The method for controlling the production of an aviation composite material workshop according to claim 3, characterized in that: The part basis difference coefficient is calculated by formula 1; Formula 1; in, is the part basis difference coefficient between the x-th part and the y-th part, The part serial number sequence of the x-th part. is the part model value of the x-th part, is the part revision number of the xth part, is the part serial number sequence of the ith part in the yth category 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 ith part in the yth category of parts, is the weight of the part serial number sequence, 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 yth category.

5. The method for controlling the production of an aviation composite material workshop according to claim 1, characterized in that: In S4, the part material information includes part basic material information and part reinforcement material information.

6. The method for controlling the production of an aviation composite material workshop according to claim 1, characterized in that: In S6, the node process information is the part process of sequential processing, and the parallel process information is the part process that does not need to be processed sequentially.

7. The method for production control of an aviation composite material workshop according to claim 1, characterized in that: The S7 specifically includes: S71, comparing any two parts in each category of the first classification information of parts to obtain a node process difference coefficient; S72. Obtain part classification information based on the node process difference coefficient, the second classification information of the part, the part material information and the parallel process information.

8. The method for controlling the production of an aviation composite material workshop according to claim 7, characterized in that: The node process difference coefficient is calculated by formula 2; Formula 2; in, is the node process difference coefficient of the a-th part and the b-th part in the same category of parts in the first classification of parts, is the number of identical node processes in the processing of type a and type b parts, is the total number of node processes in the part process of type a part, is the total number of node processes in the part process of the b-th part.

9. The method for production control of an aviation composite material workshop according to claim 7, characterized in that: The S72 specifically includes: S721. Evaluate the material performance of the parts according to the material information of the parts and obtain the material performance data of the parts; S722. Obtaining part material characteristic label information based on part material performance data and performance characteristic analysis; S723, traversing the part material feature label of each part in the second part classification, and obtaining calibration feature label information, where the calibration feature label is the part material feature label that appears the most times; S724, based on the calibration feature tag information, select the parts containing the calibration feature tag; S725, collecting feature label information of the parts containing the calibrated 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, selecting feature labels whose number exceeds a threshold value as secondary calibration feature labels according to the feature label data set; S727, determining the weight of the calibration feature tag and the weight of the secondary calibration feature tag; S728, obtaining a part feature index based on the weight of the calibration feature tag, the weight of the secondary calibration feature tag, and the parallel process information; S729. Obtain part classification information according to the part feature index and the second classification information of the part.

10. The method for controlling the production of an aviation composite material workshop according to claim 9, characterized in that: The part characteristic index is calculated by formula 3; Formula 3; in, is the part feature index, is the weight of the material feature label of the jth part, is the processing time of the jth 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.

11. The method for production control of an aviation composite material workshop according to claim 1, characterized in that: The S8 specifically includes: S81. Evaluate the production priority status of the parts according to the node process information, the parallel process information and the parts classification information, and obtain the parts production priority index; S82, arranging the parts production priority indexes in descending order to obtain parts production priority information; S83, obtaining raw material inventory information, the raw material inventory information including raw material type information, raw material quantity information and raw material storage data; S84. Obtain production material information based on raw material inventory information and parts material information; S85. Obtain workshop production plan information based on parts production priority information and production material information.

12. The method for controlling the production of an aviation composite material workshop according to claim 11, characterized in that: The part production priority index is calculated by formula 4; Formula 4; in, is the production priority index of the g-th part, is the production quantity of the g-th part, is the remaining time for the delivery of type g part, is the processing time of the kth part process, is the external time of part materials 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.

13. An aviation composite material workshop production control system, characterized by: It includes an order planning management module for electrical connection, a material management module, a process configuration management module, a measurement record management module, a production execution management module, an autoclave management module, a storage logistics management module, a quality inspection management module and a basic data management module; The order plan management module is used for contract order management, production plan compilation, process document association, raw material collection application, work-in-process process allocation and monthly plan management; The material management module is used for material warehousing, allocation, outbound delivery, 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 process files to measured records, viewing measured records and exporting reports; 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 discharge plan management, parts binding with furnace parts and autoclave operation process record; The warehousing logistics management module is used for logistics code scanning and handover; The quality inspection management module is used for first-piece inspection, process inspection, non-destructive inspection, finished product inspection, unqualified inspection process handling and certificate printing in the production process; The basic data management module is used for basic data management and user authority management.

14. The aviation composite material workshop production control system according to claim 13, characterized in that: 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.

15. The aviation composite material workshop production control system according to claim 13, 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 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.

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