Method and equipment for intelligently converting BIM (Building Information Modeling) into industrial drive data and storage medium

Abstract

According to the method and device for intelligently converting the BIM model into the industrial drive data and the storage medium, by establishing a family library of elbows, tee joints, large and small heads, pipe section types, valves and the like with machine room standards capable of being adjusted in the national standard, the functions of design information setting and pipeline type replacement are researched and developed; intelligent replacement of the machine room pipeline in the original BIM model is realized, and the accuracy of design data is ensured. A product process digital characterization method is established and put forward, a first machine room product design process standard data sample library in the industry is established, an electromechanical model basic design data compilation and extraction function is researched and developed, basic design data of machine room prefabricated products is rapidly extracted and compiled, a three-level data packet structure is established, and the design efficiency is improved. And automatically generating a model driving data packet and uploading the model driving data packet to the cloud management platform.

Description

Technical Field

[0001] The present invention relates to the technical field of BIM model design, and particularly relates to a method, device, and storage medium for intelligent conversion of BIM models into industrial drive data. Background Art

[0002] In the industrial field, the definition of product models is crucial. During the design phase, all data information required for processing and inspection must be incorporated into the model for consideration. Taking MBD (Model-Based Definition) as an example, these elements must be comprehensively considered during the design process to ensure that processing can be strictly carried out in accordance with the model during production.

[0003] Currently, BIM models in the construction field are mainly produced by design institutes. When transferred to construction units, the depth and accuracy of their BIM models are often insufficient to be directly used for production processing, not meeting the requirements of industrial production model data. Many industrial standards and requirements have not been fully considered. Traditional BIM model design information is transferred through two-dimensional drawings, and the utilization rate of project BIM design data is not high. There are problems such as the lack of processing technology information in the design model and a high non-standard rate of traditional prefabricated product designs.

[0004] Currently, the typical representative scenario of industrialization in building mechanical and electrical installation is the fully prefabricated assembled machine room application scenario. There are the following problems in the data transfer and circulation at the BIM design end.

[0005] 1. The products at the BIM design end lack industrial design data standard guidance, resulting in the inability to establish a standard design data system for fully prefabricated assembled machine rooms and making it difficult to meet the requirements of efficient industrialization and digitization production;

[0006] 2. The BIM design end lacks digital representation methods, resulting in the BIM model data being enclosed at the design end and relying entirely on manual and inefficient parsing and circulation, unable to meet industrial requirements and hindering the implementation of the seamless flow of BIM model data. Summary of the Invention

[0007] The present invention proposes a method for BIM model data governance and intelligent compilation and extraction for building mechanical and electrical industrialization, which solves problems such as the enclosure, inaccessibility, and manual and inefficient parsing and circulation of BIM model data at the design end.

[0008] To achieve the above object, the present invention adopts the following technical solutions:

[0009] An intelligent conversion method for BIM models into industrial drive data, comprising the following steps,

[0010] S1. Establish a standard data sample library for the design and manufacturing process of computer room products, propose a digital representation method for the manufacturing process of computer room products, define standardization rules for each prefabricated pipe section according to product specification parameters, digitally represent the product using an array composed of limited parameters, uniformly establish various design parameter codes, and form a design and manufacturing process data standard library, which facilitates marking and outputting manufacturing process parameters from the BIM model;

[0011] S2. Use the product classification function to classify the products that need to be prefabricated industrially, extract and identify the quantity of each product component, match it with the product categories in the flexible manufacturing product process database, and form corresponding product numbers;

[0012] S3. According to the standard data sample library for the design and manufacturing process of computer room products, extract relevant key design parameter data information of the products, and use the bill preparation function to compile and statistically analyze the drive data BOM list for each automatically produced product;

[0013] S4. Establish a three-level model-driven data packet file structure, use the bill export function to generate the drive data files required for the manufacturing line, establish corresponding file folders, place the files in the specified locations to form model-driven data packets, and enable online review, compression, and online upload to the management platform.

[0014] On the other hand, the present invention also discloses a computer-readable storage medium storing a computer program, which, when executed by a processor, causes the processor to execute the steps of the above method.

[0015] On yet another hand, the present invention also discloses a computer device including a memory and a processor, where the memory stores a computer program, and when the computer program is executed by the processor, it causes the processor to execute the steps of the above method.

[0016] As can be seen from the above technical solutions, the intelligent conversion method of the BIM model to industrial drive data according to the present invention, by establishing a national standard to establish a library of families such as elbows, tees, reducers, pipe section types, valves, etc. in the computer room that can be parameter-adjusted, develops the functions of setting design information and replacing pipe types, realizes the intelligent replacement of the computer room pipes in the original BIM model, and ensures the accuracy of design data. A digital representation method for product manufacturing processes is proposed, the first standard data sample library for the design and manufacturing process of computer room products in the industry is established, the function of compiling and extracting basic design data of the electromechanical model is developed, the rapid extraction and compilation of the basic design data of prefabricated computer room products are realized, a three-level data packet structure is established, and model-driven data packets are automatically generated and uploaded to the cloud management platform.

[0017] At present, there is no technical system for converting models into industrial production application data in the electromechanical industry. The present invention studies the intelligent conversion technology of BIM models - driven data packets. The present invention can realize the one - key conversion of models into driven data packets, improving the design and production efficiency by 90%. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a flowchart of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0019] To make the objectives, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention.

[0020] As Figure 1 shown, the intelligent conversion method of BIM models into industrial drive data described in this embodiment includes the following steps.

[0021] S1. The first product design process standard data sample library for machine rooms in the industry was established, and a method for digital characterization of product processes was proposed. Standardized rules were defined for each pre - fabricated pipe section according to parameters such as product type, assembly form, and geometric dimensions. The products were digitally characterized using arrays composed of limited parameters, and design parameter codes such as the outer diameter, wall thickness, and length of the main pipe, the thickness and depth of the flange, and the outer diameter and center radius of the elbow were uniformly established, forming a design process data standard library, which facilitated the marking and output of processing process parameters from the BIM model. This step converts the infinitely non - standard products of machine room pipe sections into standard products that can be parameterized, providing a basis and rule for the conversion of BIM models into drive data.

[0022] S2. Using the function of product classification, the processing products that need to be pre - fabricated industrially are classified, the composition quantity of each product component is extracted and identified, and it is matched with the product categories in the flexible processing product process database, and corresponding product numbers are formed.

[0023] S3. According to the product design process standard data sample library for machine rooms, relevant key design parameter data information of products is extracted, and using the function of bill of materials compilation, the bill of materials of drive data for each product produced automatically is compiled and data statistics are carried out.

[0024] S4. A three - level model - driven data packet file structure is established. Using the function of list export, the drive data files required for the processing production line can be realized, and corresponding file folders are established. The files are placed in the specified positions to form model - driven data packets, which can be aligned for online review and compression and uploaded to the management platform online.

[0025] The above steps can be understood as:

[0026] S1: Establish a standard data sample library for the design and manufacturing process of computer room products

[0027] Objective: Create a standardized data sample library to provide a basis for subsequent digital processing.

[0028] Specific methods:

[0029] Formulate digital representation methods for manufacturing processes: Define a set of standardized rules for each prefabricated pipe section according to its product specification parameters.

[0030] Digitally represent products: Describe products using arrays composed of limited parameters to ensure that each product has a unique digital representation.

[0031] Unify design parameter codes: Establish a unified code system for various design parameters to facilitate quick marking and extraction in the BIM model.

[0032] Form a standard library for design and manufacturing process data: Integrate the above standardized rules and code system into a standard library to facilitate the output of subsequent processing technology parameters.

[0033] S2: Product classification and numbering

[0034] Objective: Classify products that need to be prefabricated industrially and generate unique product numbers.

[0035] Specific methods:

[0036] Product classification: Use the product classification function to divide products that need to be prefabricated industrially into categories.

[0037] Extract the component composition quantity: Extract and identify the composition quantity of each product component.

[0038] Match the process database: Match the extracted product information with the categories in the flexible manufacturing product process database.

[0039] Generate product numbers: Generate unique product numbers for each product according to the matching results.

[0040] S3: Preparation and statistics of the BOM list for driving data

[0041] Objective: Generate a BOM (Bill of Materials) for driving data for each product produced automatically and conduct data statistics.

[0042] Specific methods:

[0043] Extract key design parameters: Extract key design parameters related to products according to the standard data sample library for the design and manufacturing process of computer room products.

[0044] Bill of Materials (BOM) Generation Function: Use the BOM generation function to generate the drive data BOM list for each product.

[0045] Data Statistics: Conduct data statistics on the generated BOM list to ensure data integrity and accuracy.

[0046] S4: Establish the three - level model - driven data packet file structure

[0047] Objective: Construct a standardized file structure, generate the drive data files required for the processing production line, and achieve online review, compression, and upload of the files.

[0048] Specific Methods:

[0049] Establish File Structure: Create the three - level model - driven data packet file structure to ensure the standardization and logic of file organization.

[0050] Bill of Materials Export Function: Use the bill of materials export function to generate the drive data files required for the processing production line.

[0051] Establish File Folders: Create dedicated data folders for the generated files.

[0052] File Placement and Naming: Place the files in the specified location and name them according to the specifications to form a complete model - driven data packet.

[0053] Online Review and Compression: Support online review of the data packet and perform compression processing on the files.

[0054] Upload to the Management Platform: Online upload the compressed data packet to the management platform for subsequent processing and production management.

[0055] Advantages of This Method

[0056] Standardization: Ensure data standardization and consistency by establishing a standard library and a unified code system.

[0057] Automation: Achieve an automated process from design to production through functions such as classification, numbering, and bill of materials generation.

[0058] Intelligence: Utilize the file structure and online management functions to improve the efficiency and traceability of data processing.

[0059] High Efficiency: Support online review, compression, and upload, reduce manual intervention, and improve production efficiency.

[0060] Application Scenarios

[0061] Industrial prefabricated production of computer room products, seamless connection between BIM models and industrial manufacturing, and data - driven intelligent processing production line management.

[0062] Through this method, the efficient conversion of BIM model data can be achieved, promoting the intelligent development of the design, production, and management of computer room products.

[0063] During specific implementation, the following steps can be referred to.

[0064] S1: Establish a standard data sample library for the design process of computer room products

[0065] Goal: Construct a high-precision and standardized data sample library to provide a basis for subsequent digital processing.

[0066] Technical details:

[0067] Process digital representation method:

[0068] Parametric modeling: Based on the component composition and geometric features of computer room products, parametric modeling technology (such as parametric design based on CAD / CAE tools) is adopted to convert the information such as the component composition, combination form, and geometric dimensions of each prefabricated pipe section into a parametric model.

[0069] Characteristic product library: Based on the component composition characteristics of computer room products (the quantity and combination form of main pipes, branch pipes, flanges, and elbows), construct a full-category pipe group product library, and construct a set of strings to uniquely represent each type of product. For example:

[0070] The FZW form represents a type of product where flanges and elbows are respectively connected to both ends of the pipe section;

[0071] Finite parameter array: By defining a finite set of parameters (such as pipe diameter, wall thickness, material, connection method, etc.), construct a multi-dimensional array to uniquely represent each product. For example:

[0072] [Flange model, flange thickness, main pipe outer diameter, wall thickness, main pipe length, elbow angle, center radius] = [Slip-on flange, 4mm, 200mm, 6mm, 1000mm, 90°, 100mm];

[0073] Standardization rules: Formulate a set of general standardization rules to ensure the consistency of the parametric representation methods for different products. For example, stipulate that the precision of the pipe diameter is two decimal places, and the material code adopts international standards (such as ISO 15156).

[0074] Design parameter code system:

[0075] Coding rules: Based on international or industry standards (such as ISO, GB / T), design a unified coding rule. For example:

[0076] Product category - material - specification - process;

[0077] Specific coding example:

[0078] FZW-Q235-100x4 - Thread;

[0079] Among them, FZW represents the product category, Q235 represents the material, 100x4 represents the specification, and thread represents the connection method.

[0080] Construction of the data sample library:

[0081] Database selection: Use a relational database (such as MySQL, PostgreSQL) or a NoSQL database (such as MongoDB) to store data samples.

[0082] Data structure design: Design a data table containing fields such as product ID, parametric description, coding information, and process requirements.

[0083] Data import and update: Support importing data from the BIM model into the sample library through API interfaces or batch import.

[0084] The following is a further expansion and refinement of the above method, adding technical descriptions to clarify the key technical points and implementation methods for better guiding practical applications.

[0085] S1: Establish a data sample library for the design process standards of computer room products

[0086] Goal: Construct a high-precision and standardized data sample library to provide a basis for subsequent digital processing.

[0087] Technical details:

[0088] Method for digital characterization of processes:

[0089] Parametric modeling: Based on the component composition and geometric features of computer room products, use parametric modeling technology (such as parametric design based on CAD / CAE tools) to convert information such as the component composition, combination form, and geometric dimensions of each prefabricated pipe section into a parametric model.

[0090] Feature product library: Based on the component composition characteristics of computer room products (the quantity and combination form of main pipes, branch pipes, flanges, and elbows), construct a full-category pipe group product library and construct a set of strings to uniquely characterize each type of product. For example:

[0091] FZW represents a type of product where flanges and elbows are respectively connected to both ends of the pipe section;

[0092] Finite parameter array: By defining a finite set of parameters (such as pipe diameter, wall thickness, material, connection method, etc.), construct a multi-dimensional array to uniquely characterize each product. For example:

[0093] [Flange model, flange thickness, outer diameter of the main pipe, wall thickness, length of the main pipe, elbow angle, center radius] = [Slip-on flange, 4mm, 200mm, 6mm, 1000mm, 90°, 100mm];

[0094] Standardization rules: Develop a set of general standardization rules to ensure consistent parametric representation methods for different products. For example, stipulate that the accuracy of pipe diameter is two decimal places, and the material code adopts international standards (such as ISO 15156).

[0095] Design parameter code system:

[0096] Coding rules: Based on international or industry standards (such as ISO, GB / T), design a unified coding rule. For example:

[0097] Product category - Material - Specification - Process;

[0098] Specific coding example:

[0099] FZW-Q235-100x4-Thread;

[0100] Among them, FZW represents the product category, Q235 represents the material, 100x4 represents the specification, and Thread represents the connection method.

[0101] Construction of data sample library:

[0102] Database selection: Use relational databases (such as MySQL, PostgreSQL) or NoSQL databases (such as MongoDB) to store data samples.

[0103] Data structure design: Design a data table containing fields such as product ID, parametric description, coding information, and process requirements.

[0104] Data import and update: Support importing data from BIM models into the sample library through API interfaces or batch import methods.

[0105] S2: Product classification and numbering

[0106] Objective: Classify products that need to be prefabricated industrially and generate unique product numbers.

[0107] Technical details:

[0108] Product classification:

[0109] Feature extraction: Use machine learning or rule engines (such as Drools) to extract geometric features and process attributes of products. For example, extract features such as pipe diameter and wall thickness through the geometric information of the BIM model.

[0110] Classification algorithm: Use clustering algorithms (such as K-Means) or classification algorithms (such as decision trees, SVM) to classify products.

[0111] Storage of classification results: Store the classification results in a database and associate them with the product ID.

[0112] Extraction of the number of component compositions:

[0113] BIM model parsing: Use the APIs provided by the BIM platform (such as Revit API, Tekla API) to parse the BIM model and extract the number of component compositions for each product.

[0114] Data cleaning: Clean the extracted data, remove redundant information, and ensure data accuracy.

[0115] Match the process database:

[0116] Matching algorithm: Use string matching algorithms (such as Levenshtein distance) or similarity calculation algorithms (such as cosine similarity) to match product categories.

[0117] Storage of matching results: Store the matching results in a database and generate a matching log.

[0118] Generate product numbers:

[0119] Number generator: Develop a number generator module to generate unique product numbers based on classification results and matching results.

[0120] Verification of numbering rules: Ensure the uniqueness and standardization of numbers through regular expressions or other verification tools.

[0121] S3: Drive the compilation and statistics of the data BOM list

[0122] Objective: Generate a BOM list of drive data for each product produced automatically and conduct data statistics.

[0123] Technical details:

[0124] Extraction of key design parameters:

[0125] Parameter mapping: Map the design parameters in the BIM model to the parameters in the process standard data sample library. For example, map parameters such as pipe diameter and wall thickness in the BIM model to the corresponding fields in the sample library.

[0126] Parameter extraction tool: Develop a parameter extraction tool to support batch extraction of key design parameters from the BIM model.

[0127] BOM list compilation:

[0128] Bill of Materials Template Design: Design a standardized Bill of Materials (BOM) template that includes fields such as product ID, component name, quantity, material, and process requirements.

[0129] Bill of Materials Generation Algorithm: Automatically generate a BOM based on the extracted design parameters and classification results.

[0130] Bill of Materials Export Function: Support exporting the BOM as a file in Excel, CSV, or other formats.

[0131] Data Statistics:

[0132] Statistical Dimensions: Support statistics by dimensions such as product category, material type, and process requirements.

[0133] Statistical Tools: Develop a statistical analysis module that supports real-time statistics and visual display of data (such as bar charts, pie charts, etc.).

[0134] S4: Establish a three-level model-driven data packet file structure

[0135] Objective: Build a standardized file structure, generate the drive data files required for the processing production line, and implement online review, compression, and upload of the files.

[0136] Technical Details:

[0137] File Structure Design:

[0138] Three-level Directory Structure: Design a three-level directory structure, for example:

[0139] / Project Name /

[0140] / Product Category /

[0141] / Product Number /

[0142] File1.xml

[0143] File2.json

[0144] File Naming Rules: Formulate file naming rules, for example:

[0145] Product Number_Timestamp.File Format;

[0146] Example:

[0147] P-01-202310101200.xml

[0148] Bill of Materials Export Function:

[0149] Export Tool: Develop a bill of materials export tool that supports exporting the BOM and other related files in a specified format.

[0150] File format conversion: Support converting files from one format to another (such as XML to JSON).

[0151] File folder creation:

[0152] Folder generation module: Develop a folder generation module to automatically create file folders.

[0153] Folder naming rules: Establish folder naming rules to ensure the uniqueness and standardization of folder names.

[0154] Online review and compression:

[0155] Review tool: Develop an online review tool to support reviewing file content.

[0156] File compression tool: Develop a file compression tool to support compressing files into ZIP or RAR formats.

[0157] File upload to the management platform:

[0158] Upload protocol: Implement file upload using HTTP / HTTPS protocol or FTP protocol.

[0159] Resume interrupted upload: Support the resume interrupted upload function to ensure the reliability of large file uploads.

[0160] Upload log: Record the log information of file uploads, including upload time, upload status, file size, etc.

[0161] Technical framework and tool suggestions

[0162] BIM platform integration:

[0163] Use tools such as Revit API and Tekla API to parse BIM models.

[0164] Support seamless integration with mainstream BIM platforms.

[0165] Data processing and storage:

[0166] Data processing: Use Python (Pandas, NumPy) or Java (Spring Boot) for data processing.

[0167] Data storage: Use relational databases such as MySQL and PostgreSQL, or NoSQL databases such as MongoDB.

[0168] File processing and compression:

[0169] File processing: Tools such as Apache POI (Excel) and Jackson (JSON) are adopted.

[0170] File compression: File compression is implemented using ZipOutputStream (Java) or zipfile (Python).

[0171] Online management platform:

[0172] Front-end: React, Vue.js.

[0173] Back-end: Spring Boot, Node.js.

[0174] Database: MySQL, MongoDB.

[0175] File storage: Local storage or cloud storage (such as Alibaba Cloud OSS, AWS S3) is supported.

[0176] Through the BIM model to industrial drive data intelligent conversion method of the embodiments of the present invention, the design data in the BIM model can be efficiently converted into industrial drive data, supporting the industrial prefabrication and intelligent production of computer room products. This method has strong technical operability and can significantly improve production efficiency and data management level.

[0177] This technical achievement of the present invention solves the problems of low efficiency in traditional BIM / CAD manual prefabrication decomposition design, low utilization rate of BIM design data due to the transfer of design information through two-dimensional drawings, lack of processing technology information in the design model, and high non-standard rate of traditional prefabricated product design.

[0178] Applying this achievement, the Shenzhen CSCEC Greater Bay Area Smart Industrial Park has been built and promoted in 8 construction projects such as the Shenzhen Liuxiandong Strategic Emerging Industry Headquarters Base and the Second Phase of Zhuhai Hengqin Science City, significantly improving the level of industrialized manufacturing technology for building electromechanics in China and achieving good social and economic benefits. This technology has been evaluated by many industry professionals such as Academician Ding Lieyun and has reached the international leading level in the overall building industry.

[0179] On the other hand, the present invention also discloses a computer-readable storage medium storing a computer program, which when executed by a processor causes the processor to execute the steps of the above method.

[0180] On yet another aspect, the present invention also discloses a computer device including a memory and a processor, the memory storing a computer program, which when executed by the processor causes the processor to execute the steps of the above method.

[0181] In another embodiment provided by the present application, a computer program product including instructions is further provided. When it runs on a computer, it causes the computer to execute any one of the BIM model to industrial drive data intelligent conversion methods in the above embodiments.

[0182] It can be understood that the system, device, and storage medium provided by the embodiments of the present invention correspond to the methods provided by the embodiments of the present invention. The explanations, examples, and beneficial effects of related content can refer to the corresponding parts in the above methods.

[0183] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the processes or functions described in the embodiments of the present application are generated in whole or in part. The computer can be a general-purpose computer, a dedicated computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from a website, computer, server, or data center to another website, computer, server, or data center by wire (such as coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (such as infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that the computer can access or a data storage device such as a server or data center that includes one or more integrated available media. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a magnetic tape), an optical medium (for example, a DVD), or a semiconductor medium (for example, a solid state disk (SSD)).

[0184] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including", or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article, or device including a series of elements not only includes those elements, but also includes other elements not explicitly listed, or further includes elements inherent to such process, method, article, or device. Without further limitation, an element defined by the statement "including a..." does not exclude the existence of additional identical elements in the process, method, article, or device including the element.

[0185] Each embodiment in this specification is described in a related manner. For the same or similar parts among the embodiments, reference can be made to each other. Each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can refer to the partial description of the method embodiment.

[0186] The above embodiments are only used to illustrate the technical solutions of the present invention, not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for intelligent conversion of BIM models into industrially driven data, characterized in that, Including the following steps, S1. Establish a standard data sample library for the design process of computer room products, propose a digital representation method for the computer room product process, define standardization rules for each pipe section prefabricated product according to product specification parameters, digitally represent the product using an array composed of limited parameters, uniformly establish various design parameter codes, and form a design process data standard library, which facilitates marking and outputting processing process parameters from the BIM model; S2. Use the function of product classification to classify the processing products that need to be prefabricated industrially, extract and identify the composition quantity of each product component, match it with the product category in the flexible processing product process database, and form corresponding product numbers; S3. According to the standard data sample library for the design process of computer room products, extract relevant key design parameter data information of the products, and use the bill preparation function to compile and statistically analyze the drive data BOM list for each automatically produced product; S4. Establish a three-level model-driven data packet file structure, use the list export function to generate the drive data files required for the processing production line, establish corresponding file folders, place the files in the specified locations, form a model-driven data packet, and enable online alignment for review and compression and online upload to the management platform.

2. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, the processor is caused to execute the steps of the method according to claim 1.

3. A computer device, comprising a memory and a processor, the memory storing a computer program, characterized in that, When the computer program is executed by the processor, the processor is caused to execute the steps of the method according to claim 1.

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