A method, system, device and storage medium for generating product manufacturing process specifications

Abstract

The present application relates to a method, system, device, and storage medium for generating a product manufacturing process specification, wherein the method comprises: constructing a process specification requirement model for product manufacturing that includes product quality, production cost, and production efficiency requirements; obtaining process-related test data from a pre-conducted product development process to obtain a process data sample; and generating a process specification that meets the target requirements based on the process specification requirement model and the process data sample. The present application can positively form a process specification that meets product quality requirements, production cost, and production efficiency requirements, and can get rid of dependence on manual experience. By means of knowledge acquisition and coupling, it can guide the precise writing of process technology documents.

Description

Technical Field

[0001] The present application relates to the field of product manufacturing technology, and in particular to a method, system, device and storage medium for generating product manufacturing process specifications. Background Art

[0002] In high-end manufacturing, especially in the design and manufacturing of aviation products, processes are the cornerstone of design, and process specifications are a key means of ensuring product quality and achieving qualified product delivery. Process specifications are a set of regulations that define the technical requirements of a process and are standardized documents. For the digital manufacturing of aviation products, the development of process specifications should be the result of forward design, coordinated with design and materials, and closely integrated with process R&D activities. However, the current process of generating process specifications is mostly based on the engineering experience of process designers. The experience and level of these designers directly determine the quality of the generated process specifications, resulting in a lack of forward design capabilities and a failure to comprehensively consider the process specification requirements for product quality, economy, and processing efficiency. Furthermore, the development of process specifications lacks the support of relevant process knowledge and systematic verification, resulting in a high number of process optimization iterations. The technical data sources for many process specifications are unclear and unscientific, impacting product processing quality, production costs, and efficiency. There is a lack of corresponding digital, modular, and knowledge-based systems to support the rapid generation of process specifications, design selection, the compilation of process technical documents, and digital transformation. Summary of the Invention

[0003] (1) Technical problems to be solved

[0004] The present application provides a method, system, device and storage medium for generating product manufacturing process specifications to solve the technical problem of poor quality in the current generation of digital manufacturing process specifications for aviation products.

[0005] (2) Technical solution

[0006] In a first aspect, the present application provides a method for generating a product manufacturing process specification, comprising:

[0007] Construct a process specification requirement model for product manufacturing that includes product quality, production cost, and production efficiency requirements;

[0008] Obtain process-related test data from the pre-conducted product development process and obtain process data samples;

[0009] A process specification that meets the target requirement is generated according to the process specification requirement model and the process data sample.

[0010] Furthermore, before constructing the process specification requirement model for product manufacturing including product quality, production cost and production efficiency requirements, the following steps are also included:

[0011] Based on the design requirements of product manufacturing, develop predefined process specification templates that match product manufacturing goals.

[0012] Furthermore, the process specification requirement model for product manufacturing including product quality, production cost and production efficiency requirements is constructed, including:

[0013] According to the design requirements of product manufacturing and a preset process specification requirement model construction method, the process specification requirement model is constructed.

[0014] Furthermore, generating a process specification that meets target requirements based on the process specification requirement model and the process data sample includes:

[0015] generating a draft of the process specification according to the predefined process specification template, the process specification requirement model and the process data sample;

[0016] Based on the draft process specification, different levels of verification are carried out through trial production samples to generate the final process specification that meets the target requirements.

[0017] Furthermore, generating a draft of the process specification according to the predefined process specification template, the process specification requirement model and the process data sample includes:

[0018] Randomly selecting process parameter data from the process data sample and matching them with the process specification requirement model;

[0019] Calculate the comprehensive target value through Monte Carlo simulation analysis, and analyze the confidence interval and allowable value of each parameter to meet the design requirements;

[0020] A draft of the process specification is generated according to the predefined process specification template, the confidence intervals and the allowable values ​​of each parameter.

[0021] Furthermore, before the preliminary draft of the process specification is verified at different levels through trial production samples and a final draft of the process specification that meets the target requirements is generated, the process may further include:

[0022] Determine the trial production sample size and initial range of process parameters based on product manufacturing design requirements;

[0023] According to the trial sample size and the initial range of the process parameters, the trial sample is constructed by verifying the orthogonal matrix through a building block approach.

[0024] Furthermore, based on the draft process specification, different levels of verification are carried out through trial production samples to generate a final draft process specification that meets the target requirements, including:

[0025] Based on the draft process specifications, verify the materials, components, assemblies, and parts / sub-assemblies step by step through trial production samples;

[0026] The preliminary draft of the process specification is iteratively optimized based on the verification results to generate a final draft of the process specification that meets the target requirements.

[0027] In a second aspect, the present application provides a system for generating product manufacturing process specifications, including:

[0028] Model building module, used to build a process specification requirement model for product manufacturing that includes product quality, production cost and production efficiency requirements;

[0029] The data acquisition module is used to obtain process-related test data from the pre-conducted product development process and obtain process data samples;

[0030] The specification generation module is used to generate a process specification that meets the target requirements based on the process specification requirement model and the process data sample.

[0031] In a third aspect, the present application provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the method for generating product manufacturing process specifications as described above is implemented.

[0032] In a fourth aspect, the present application provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the product manufacturing process specification generation method as described above.

[0033] (3) Beneficial effects

[0034] The above technical solution of this application has the following advantages:

[0035] The first aspect of this application provides a method for generating product manufacturing process specifications. By constructing a process specification requirement model, conducting process research and development activities, and utilizing process knowledge and logical algorithms formed from experimental data, the method positively generates process specifications that meet product quality requirements, production costs, and production efficiency requirements. The process specifications generated by this method can break away from reliance on manual experience and, through knowledge acquisition and coupling, guide the precise compilation of process technical documents, reduce the number of process iterations, lower production costs, and improve production efficiency. At the same time, the method can store process specifications in a digital form in a knowledge base, promoting the digital transformation of aviation manufacturing.

[0036] It can be understood that the beneficial effects of the second, third and fourth aspects mentioned above can be found in the relevant description of the first aspect mentioned above, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the specific implementation methods of the present application or the technical solutions in the prior art, the following is a brief introduction to the drawings required for use in the specific implementation methods or the description of the prior art. Obviously, the drawings described below are some implementation methods of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0038] Figure 1 A flowchart of the method for generating product manufacturing process specifications provided in this application;

[0039] Figure 2 Schematic diagram of the method for generating product manufacturing process specifications provided in this application;

[0040] Figure 3 A schematic diagram of the structure of the product manufacturing process specification generation system provided in this application;

[0041] Figure 4 This is a schematic diagram of the structure of the electronic device provided in this application. DETAILED DESCRIPTION

[0042] In the following description, specific details such as specific system structures and techniques are provided for purposes of illustration rather than limitation to facilitate a thorough understanding of the embodiments of the present application. However, it will be apparent to those skilled in the art that the present application may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid obscuring the description of the present application with unnecessary detail.

[0043] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, integers, steps, operations, elements and / or components, but does not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or collections thereof.

[0044] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0045] References to "one embodiment" or "some embodiments" in this specification mean that one or more embodiments of the present application include a particular feature, structure, or characteristic described in conjunction with that embodiment. Thus, phrases such as "in one embodiment," "in some embodiments," "in other embodiments," and "in other embodiments" appearing in various places in this specification do not necessarily refer to the same embodiment, but rather mean "one or more but not all embodiments," unless otherwise specifically emphasized. The terms "including," "comprising," "having," and variations thereof all mean "including but not limited to," unless otherwise specifically emphasized. "Multiple" means "two or more."

[0046] The following problems currently exist in the process of forming digital manufacturing process specifications for aviation products:

[0047] There is a lack of a process specification generation mechanism that collaborates with forward design and manufacturing. Currently, the process specification generation process relies primarily on the engineering experience of process designers, whose experience and level directly determine the quality of the process specifications. Many process data sources are unclear and unscientific, and process R&D activities are disconnected from the formation of process specifications, impacting the manufacturing level of the product. There is a lack of a demand model that comprehensively considers product quality, economy, and processing efficiency. The core technical content of process specifications lacks the acquisition and support of process knowledge. The establishment of a process knowledge base and related algorithms fail to couple with design requirements and test data. There is a lack of a standard verification method for systematic specifications. Currently, the process of generating digital manufacturing process specifications for aviation products lacks comprehensive standard verification, including verification steps for intermediate stages of different products. This results in a serious accumulation of product manufacturing errors, a high rework rate, and slow problem resolution.

[0048] Based on the above problems and the current status of digital manufacturing of aviation products, a method, system, equipment and storage medium for generating product manufacturing process specifications are provided. By constructing a process specification demand model, carrying out process research and development activities, and utilizing the process knowledge and logical algorithms formed by experimental data, process specifications that meet product quality requirements, production costs, and production efficiency requirements are positively formed. Through a building block verification method, the standardized and scientific compilation of process specifications is promoted, thereby guiding the digital research and development and production of aviation products.

[0049] The following embodiments are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0050] like Figure 1 As shown, the method for generating product manufacturing process specifications provided in this embodiment specifically includes the following steps:

[0051] S100. Construct a process specification requirement model for product manufacturing that includes product quality, production cost and production efficiency requirements.

[0052] In some embodiments, before constructing a process specification requirement model for product manufacturing that includes product quality, production cost, and production efficiency requirements, the process also includes: formulating a predefined process specification template that matches the product manufacturing goals based on the design requirements of the product manufacturing.

[0053] In some embodiments, constructing a process specification requirement model for product manufacturing that includes product quality, production cost, and production efficiency requirements includes: constructing the process specification requirement model according to the design requirements of product manufacturing and a preset process specification requirement model construction method.

[0054] In this application, a system for generating manufacturing process specifications based on the proposed method is provided, embodying the core concept of the implementation method. The system consists of software and hardware, encompassing four modules: model building, data acquisition, specification generation, and process knowledge base construction. Data transmission, access, and storage between these modules are achieved through human-computer interaction.

[0055] The model building module mainly inputs the product design requirement information and the process specification requirement model. In the aforementioned system, human-computer interaction is used to extract the product design requirements and confirm them, and then input them into the process knowledge base after confirmation; in this module, according to the provided process specification requirement model construction method, the process specification requirement model is established and the model is transferred to the process knowledge base.

[0056] The process specification requirement model has the following model formula: comprehensive target value = a × product quality value + b × production cost value + c × production efficiency value. The higher the comprehensive target value, the more scientific and reasonable the generated process specification is. In the formula, a, b, and c represent the weights of product quality, production cost, and production efficiency, respectively, where a+b+c=1. In the initial value of the model, the a value is 0.7, the b value is 0.15, and the c value is 0.15. The weights can be adjusted according to actual production conditions and needs. When the product quality meets the requirements, the product quality value is 1, and the production cost in the formula is calculated as follows:

[0057]

[0058] Production cost value = f(E) / E n

[0059] Where f(E) represents the average production cost for n process items; E n Represents the production cost of a single process.

[0060] It can be seen from the formula that the higher the production cost, the smaller the production cost value. When the single production cost value (E n ) is greater than the average production cost (f(E)), its production cost value is less than 1. When the production cost is less than the average production cost, its production cost value is greater than 1. The method for calculating the production efficiency value is the same as that for calculating the production cost value.

[0061] Enter product quality, technical requirements, and other information into the model building module to conduct demand analysis. Build a comprehensive process specification demand model that encompasses objectives such as product quality, economic efficiency, and production efficiency. Assign weights to each objective and save them in the process knowledge base.

[0062] S200: Acquire process-related test data from a pre-conducted product development process to obtain a process data sample.

[0063] In applications, the data acquisition module is used to capture test data from the product development phase. This module integrates the digital manufacturing process, extracts job files, and analyzes and captures data related to personnel, tooling and equipment, materials, process parameters, and test results. Furthermore, human-computer interaction allows for input of relevant test data generated during the manufacturing process by task number or batch, and transfers this data to the process knowledge base.

[0064] According to the requirements of the process specification template, the data acquisition module collects process-related test data, mainly including personnel, environment, material information, process flow, process parameters, test methods, product quality, production costs, production cycle, etc., to form a process data sample. After data collection, it is stored in the process knowledge base by batch or task number.

[0065] S300 : Generate a process specification that meets target requirements based on the process specification requirement model and the process data sample.

[0066] In some embodiments, generating a process specification that meets the target requirements based on the process specification requirement model and the process data sample includes: generating a draft of the process specification based on the predefined process specification template, the process specification requirement model and the process data sample; and performing different levels of verification through trial production samples based on the draft of the process specification to generate a final draft of the process specification that meets the target requirements.

[0067] In some embodiments, generating a draft of the process specification based on the predefined process specification template, the process specification requirement model and the process data sample includes: randomly selecting process parameter data from the process data sample and matching it with the process specification requirement model; calculating the comprehensive target value through Monte Carlo simulation analysis, and analyzing the confidence interval and allowable value of each parameter that meets the design requirements; generating a draft of the process specification based on the predefined process specification template, the confidence interval and allowable value of each parameter.

[0068] In some embodiments, the process of performing different levels of verification through trial production samples based on the preliminary draft of the process specification to generate a final draft of the process specification that meets the target requirements also includes: determining the trial production sample size and the initial range of process parameters based on the design requirements of product manufacturing; and constructing the trial production sample through a building block verification orthogonal matrix based on the trial production sample size and the initial range of process parameters.

[0069] In some embodiments, based on the preliminary draft of the process specification, verification at different levels is performed through trial production samples to generate a final draft of the process specification that meets the target requirements, including: based on the preliminary draft of the process specification, verification at the material, component, assembly, and part / component levels is gradually performed through trial production samples; and based on the verification results, the preliminary draft of the process specification is iteratively optimized to generate a final draft of the process specification that meets the target requirements.

[0070] In the application, the specification generation module is used to generate process specifications, including the creation of process specification templates, the initial draft, and the final draft. Experimental data, relevant process knowledge, and demand models are retrieved from the knowledge base. Through simulation calculations, the initial draft of the process specification is generated. Using the proposed building block verification method based on orthogonal matrices, a trial production sample model and verification method are constructed, and iterative optimization is performed to produce the final draft of the process specification.

[0071] The process knowledge base construction module is used to store and transmit all process data in the process of forming process specifications, including knowledge such as personnel, equipment, materials, process parameters, models, algorithms, process specifications, etc.

[0072] The specification generation module provides a building block approach to process specification verification based on an orthogonal matrix. Leveraging the product development process, it conducts trial production sample construction and verification at different levels, including materials, components, assemblies, and parts / subassemblies. Verification at different levels is performed for key indicators and product processing, ensuring that all technical conditions during the processing meet product design requirements, thereby ensuring the performance, reliability, production efficiency, and cost of the final product.

[0073] The construction of trial production samples is a fundamental prerequisite for conformity verification. Small sample sizes can lead to inadequate process verification, while large sample sizes can incur high costs. The trial production sample model in this application includes information such as sample quantity, materials, and process parameter ranges. By inputting key design and process requirements, the trial production sample size and initial process parameter ranges are automatically calculated.

[0074] Materials verification is used to test and evaluate the processability of raw materials used in product manufacturing, primarily verifying their chemical composition, physical properties, mechanical properties, and processing performance. In addition to ensuring that product performance requirements are met, materials verification also helps optimize material selection and reduce production costs.

[0075] Component verification is based on the draft of the process specifications to determine and confirm whether the process specifications can meet the design requirements, safety requirements, and performance, and to conduct reliability assessment and preliminary confirmation analysis of the process specifications.

[0076] After the component verification, the assembly is verified to confirm the compatibility between the interfaces and to determine whether the expected compatibility, performance, safety, reliability and other indicators are met.

[0077] Parts / Components Verification After the assembly verification mentioned above meets the design requirements, parts / components verification is carried out. It is an important step to ensure product quality and reliability, help reduce the risk of product failure, and improve the efficiency and quality of the entire product production process.

[0078] The knowledge base provided by this application is an open, easily scalable, and flexibly configurable platform. The knowledge mainly includes process data, models and algorithms, process specification templates, and process specification cases.

[0079] Process data refers to the collection of data generated during the manufacturing process. This includes personnel, equipment, design requirements, material data, process flow, process parameters, test or inspection data, product quality, labor hours, and production cycle times. Process data can be manually entered, or it can be automatically acquired by reading and digitizing the process plan information of the manufacturing process.

[0080] The models and algorithms include process specification requirement models, trial production sample models, and simulation algorithms.

[0081] The process specification template consists of two layers: one that records typical process specification templates and the other that allows customization of individual modules, which can then be combined to create new process specification templates. The process specification framework and initial process parameter values ​​are stored. When developing a process specification template, you can directly select and match it, and customize the template and process parameters as needed.

[0082] The process specification cases described include published process specifications, including information such as applicable product requirements, release time, and process specification content.

[0083] The process knowledge base constructed in this application is the prerequisite for developing process specification templates. Designers or process engineers can retrieve from the process knowledge base and develop predefined process specification templates that match their goals based on product type, product characteristics, and quality requirements. They can also set initial values ​​for various process parameters in the user interface based on design requirements.

[0084] Retrieve matching process specification requirement models, process specification templates, and process knowledge from the knowledge base. Using Monte Carlo simulation, randomly select process parameter data from the process parameter knowledge base and match them to the process specification requirement model. Using Monte Carlo simulation analysis, calculate the comprehensive target value and analyze the confidence intervals and allowable values ​​of each parameter to meet design requirements. This creates a preliminary draft of the process specification.

[0085] Prototypes are trial-produced by constructing a building block verification orthogonal matrix. Based on the prototype, verification is performed at different levels, targeting materials, components, assemblies, and parts / subassemblies. The processes and parameters in the process specifications are verified to ensure that each process achieves the expected results and verifies compliance with the process specifications. Based on the verification results, the process specifications are iteratively optimized to produce the final draft.

[0086] The following is described by specific examples:

[0087] Product designers propose quality, technical, and safety requirements for the product realization process as input for generating process specifications and storing them in the process knowledge base. Process engineers retrieve design requirements from the knowledge base and, based on these requirements and production conditions, develop a process specification template, build a demand model, store it in the knowledge base, and create a product processing batch number or task number.

[0088] Based on their requirements, process engineers or operators can collect test data from the process specification template automatically or interactively, creating a data set that is stored in the process knowledge base by batch or task number. Furthermore, the process knowledge base can be used to directly match the corresponding process data and assign initial values ​​to process parameters.

[0089] Process engineers retrieve the process data requirement model from the knowledge base and, through simulation calculations within the system, analyze the confidence intervals of each process parameter to produce a draft process specification. Based on the draft process specification, they retrieve the building block verification orthogonal matrix from the knowledge base and, through process parameter input and design, construct a trial production sample and verification plan for the process specification.

[0090] Based on the verification plan, a verification outline is compiled. Production and processing of materials, components, assemblies, and parts at different levels are performed according to requirements, and testing is performed as required. Processing and testing results are stored in the knowledge base by batch or task number. Product designers and process engineers confirm the product test results, and process engineers optimize the process within the system based on the results. Based on the verification process, a verification report is generated, and the process specifications and verification report are submitted to management for review and release.

[0091] The method for generating product manufacturing process specifications provided in the embodiment of this application is as follows: Figure 2 As shown in the figure. For the digital manufacturing process of aviation products, a process specification generation method and system based on forward design and knowledge collaboration is developed. By building a process specification requirement model, conducting process R&D activities, and utilizing process knowledge and logic algorithms formed by test data, process specifications are forward-formed to meet product quality, production cost, and production efficiency requirements. Furthermore, through a building block verification approach, the standardized and scientific compilation of process specifications is promoted, thereby guiding the digital development and production of aviation products.

[0092] The process specifications generated by this method and system can get rid of the dependence on manual experience. With the help of knowledge acquisition and coupling, they can guide the precise writing of process technical documents, reduce the number of process iterations, reduce production costs and improve production efficiency. At the same time, the process specifications can be stored in a digital form in the knowledge base, promoting the digital transformation of aviation manufacturing.

[0093] Corresponding to the method for generating product manufacturing process specifications described in the above embodiment, as Figure 3 As shown, this embodiment provides a product manufacturing process specification generation system, and the product manufacturing process specification generation system 300 includes:

[0094] Model building module 301, used to build a process specification requirement model for product manufacturing that includes product quality, production cost and production efficiency requirements;

[0095] The data acquisition module 302 is used to acquire process-related test data from a pre-conducted product development process to obtain process data samples;

[0096] The specification generation module 303 is used to generate a process specification that meets the target requirements based on the process specification requirement model and the process data sample.

[0097] It should be noted that the information interaction, execution process, etc. between the above-mentioned modules / units are based on the same concept as the method embodiment of this application. Their specific functions and technical effects can be found in the method embodiment section and will not be repeated here.

[0098] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the system can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0099] The embodiment of the present application further provides an electronic device 400, such as Figure 4 As shown, it includes a memory 401, a processor 402, and a computer program 403 stored in the memory 401 and executable on the processor 402. When the processor 402 executes the computer program 403, the steps of the method for generating product manufacturing process specifications provided in the first aspect are implemented.

[0100] In applications, electronic devices may include, but are not limited to, processors and memories. Figure 4 These are merely examples of electronic devices and do not limit the scope of the electronic device. The electronic device may include more or fewer components than shown, or a combination of certain components or different components. For example, input / output devices, network access devices, etc. Input / output devices may include cameras, audio capture / playback devices, display screens, etc. Network access devices may include a network module for establishing wireless network connections with external devices.

[0101] In applications, the processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0102] In applications, in some embodiments, the memory can be an internal storage unit of an electronic device, such as a hard disk or memory of the electronic device. In other embodiments, the memory can also be an external storage device of the electronic device, such as a plug-in hard disk equipped on the electronic device, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card, etc. The memory can also include both an internal storage unit of the electronic device and an external storage device. The memory is used to store an operating system, application programs, a boot loader (BootLoader), data, and other programs, such as the program code of a computer program. The memory can also be used to temporarily store data that has been output or is about to be output.

[0103] An embodiment of the present application further provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments can be implemented.

[0104] The present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, it can implement the steps of the above-mentioned various method embodiments. The computer program includes computer program code, which can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include at least: any entity or device that can carry the computer program code to an electronic device, a recording medium, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electric carrier signal, a telecommunication signal and a software distribution medium. For example, a USB flash drive, a mobile hard disk, a magnetic disk or an optical disk.

[0105] Those skilled in the art will appreciate that the devices and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0106] In the embodiments provided herein, it should be understood that the disclosed devices and methods may be implemented in other ways. For example, the device embodiments described above are merely illustrative. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interface, or the devices may be indirectly coupled or communicated in some manner, whether electrical, mechanical, or other.

[0107] The above-described embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present application, and should all be included in the scope of protection of the present application.

Claims

1. A method for generating product manufacturing process specifications, characterized in that: include: Construct a process specification requirement model for product manufacturing that includes product quality, production cost, and production efficiency requirements; Obtain process-related test data from the pre-conducted product development process and obtain process data samples; Generating a process specification that meets target requirements based on the process specification requirement model and the process data sample; Before constructing the process specification requirement model for product manufacturing including product quality, production cost and production efficiency requirements, the following steps are also included: According to the design requirements of product manufacturing, formulate predefined process specification templates that match the product manufacturing goals; Generating a process specification that meets target requirements based on the process specification requirement model and the process data sample includes: generating a draft of the process specification according to the predefined process specification template, the process specification requirement model and the process data sample; Based on the draft process specification, conduct different levels of verification through trial production samples to generate the final process specification that meets the target requirements; Generating a draft of the process specification according to the predefined process specification template, the process specification requirement model and the process data sample includes: Randomly selecting process parameter data from the process data sample and matching them with the process specification requirement model; Calculate the comprehensive target value through Monte Carlo simulation analysis, and analyze the confidence interval and allowable value of each parameter to meet the design requirements; A draft of the process specification is generated according to the predefined process specification template, the confidence intervals and the allowable values ​​of each parameter.

2. The method for generating product manufacturing process specifications according to claim 1, wherein: The process specification requirement model for product manufacturing, which includes product quality, production cost, and production efficiency requirements, includes: According to the design requirements of product manufacturing and a preset process specification requirement model construction method, the process specification requirement model is constructed.

3. The method for generating product manufacturing process specifications according to claim 1, wherein: The process of verifying the draft process specification at different levels through trial production samples and generating the final process specification that meets the target requirements also includes: Determine the trial production sample size and initial range of process parameters based on product manufacturing design requirements; According to the trial sample size and the initial range of the process parameters, the trial sample is constructed by verifying the orthogonal matrix through a building block approach.

4. The method for generating product manufacturing process specifications according to claim 1, wherein: Based on the draft process specification, different levels of verification are carried out through trial production samples to generate the final process specification that meets the target requirements, including: Based on the draft process specifications, verify the materials, components, assemblies, and parts / sub-assemblies step by step through trial production samples; The preliminary draft of the process specification is iteratively optimized based on the verification results to generate a final draft of the process specification that meets the target requirements.

5. A product manufacturing process specification generation system, characterized in that: include: Model building module, used to build a process specification requirement model for product manufacturing that includes product quality, production cost and production efficiency requirements; The data acquisition module is used to obtain process-related test data during the pre-conducted product development process and obtain process data samples; A specification generation module, configured to generate a process specification that meets target requirements based on the process specification requirement model and the process data sample; Before constructing the process specification requirement model for product manufacturing including product quality, production cost and production efficiency requirements, the following steps are also included: According to the design requirements of product manufacturing, formulate predefined process specification templates that match the product manufacturing goals; Generating a process specification that meets target requirements based on the process specification requirement model and the process data sample includes: generating a draft of the process specification according to the predefined process specification template, the process specification requirement model and the process data sample; Based on the draft process specification, conduct different levels of verification through trial production samples to generate the final process specification that meets the target requirements; Generating a draft of the process specification according to the predefined process specification template, the process specification requirement model and the process data sample includes: Randomly selecting process parameter data from the process data sample and matching them with the process specification requirement model; Calculate the comprehensive target value through Monte Carlo simulation analysis, and analyze the confidence interval and allowable value of each parameter to meet the design requirements; A draft of the process specification is generated according to the predefined process specification template, the confidence intervals and the allowable values ​​of each parameter.

6. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the method for generating product manufacturing process specifications according to any one of claims 1 to 4 is implemented.

7. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method for generating product manufacturing process specifications according to any one of claims 1 to 4 is implemented.

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