Intelligent management system and method for welding data

Abstract

The invention relates to the technical field of welding manufacturing, in particular to an intelligent management system and method for welding data. Aiming at the common problems of difficulty in compiling welding process files, poor accuracy and standardization, low efficiency and the like in the current welding manufacturing industry, the digital construction of a welding workshop and process design can be realized through a welding data intelligent management system which comprises a welding process design expert system, a welding production system and other contents; the process file compiling efficiency and the equipment comprehensive operation efficiency are effectively improved, digital transformation requirements of enterprises are facilitated, and technical support and important support are provided for quality improvement, efficiency improvement and cost reduction of intelligent factories of enterprises and companies.

Description

Technical Field

[0001] This invention relates to the field of welding manufacturing technology, and in particular to an intelligent management system and method for welding data. Background Technology

[0002] Welding technology is an indispensable and crucial technology in the manufacturing industry, and it is the preferred technical means to achieve high-quality joining of metal materials. The welding process is usually the most important link in determining the quality of metal components. However, in the actual production process of metal components, due to the numerous steps in the entire production process, the welding process involves many factors such as materials, equipment, parameters, environment, and structure, all of which significantly affect the formulation, implementation, and quality evaluation of welding processes.

[0003] Especially for complex welded components, automated welding has significant limitations. Welding processes are mostly manual, and their manufacturing typically involves multiple welding steps and various welding techniques. Welding process design, welding data management, and welding quality evaluation rely heavily on extensive welding knowledge and production data, posing a significant challenge to industry professionals. Therefore, the industry currently suffers from widespread problems such as difficulty in compiling welding process documentation, poor accuracy and standardization, and low efficiency. These issues severely impact the production efficiency and product quality of welded components, ultimately affecting the company's product competitiveness and economic benefits. Finding effective solutions for welding process management and design has always been a core need for major welding manufacturing companies. Intelligent and digital welding production is an inevitable trend in the future of welding manufacturing.

[0004] Given the common challenges in welding process design and data management during the actual production and manufacturing of the aforementioned welded structures, there is an urgent need to develop an intelligent management system and method for welding data. This would compensate for the shortcomings of existing methods in welding structure manufacturing and other aspects, thereby effectively realizing welding process management and optimization, and promoting the digitalization and intelligentization of welding production and manufacturing in the industry. Summary of the Invention

[0005] In view of this, the present invention proposes an intelligent management system and method for welding data, the purpose of which is to manage and optimize the welding process of complex welded structural parts, provide technical support for the upgrading of welding processes of related enterprises, and promote the digitalization and intelligentization of welding production and manufacturing in the industry.

[0006] The specific technical solution of this invention is as follows:

[0007] A welding data intelligent management system and method thereof. The system is characterized by the following steps:

[0008] S1: Construction of a welding process design expert system;

[0009] S2: Construction of welding production system;

[0010] S3: Network integration and information technology transformation;

[0011] Prioritize the construction of a welding process design expert system. Specifically, this involves using information technology to effectively accumulate and reuse welding data, knowledge, experience, and resources; computer-aided intelligent process design to reduce technical risks such as errors, omissions, and repetitions; and improving the efficiency and quality of process preparation. The system includes the following functional modules: welder management module, welding procedure qualification management module, welding procedure specification management module, welding process resource management module, and welding project management module.

[0012] Furthermore, in the welder management module, a standardized, comprehensive welder qualification database is first established to achieve unified digital management of welders' basic information and qualification items. The welder database is searchable, accessible, and updatable, with data statistical analysis functions and modifiable access control. Basic welder information mainly includes personal data (graduation certificate, ID card, and ID photo), work experience, years of service, qualification certificates, medical examination reports, examination results, certification status, continuous operation records, and personnel changes. Welder qualification items are managed modularly according to the relevant welding industry standards and specifications of the enterprise, mainly including certificate category, certificate item, validity period, and coverage information. Corresponding certificates can be uploaded, viewed, and updated. Information is entered after passing qualification and skills assessment examinations, automatically updating welder certificates and the list of qualified welders. In addition, this module can automatically parse welder examination standards, automatically generating the applicable scope of welder qualification items, and providing an open, editable logic algorithm for qualification item coverage to meet the needs of upgrading standards in actual welding process preparation. Based on the product weld statistics, process and production personnel can quickly filter out a list of personnel who meet the qualification requirements; otherwise, a notification will be sent to initiate the relevant welder examination and certification process.

[0013] Furthermore, in the welding procedure qualification management module, a standardized, comprehensive welding procedure qualification professional database is first established. This database enables unified digital management of qualification element information, accreditation coverage, and qualification report attachments. The database is searchable, accessible, and updatable, with data statistical analysis capabilities and modifiable access permissions. It can automatically parse welding procedure qualification standards, automatically generating the applicable scope of welding procedure qualification. It also provides an open and editable logic algorithm for welding procedure qualification coverage to meet the needs of upgrading standards in actual welding process preparation. This ensures that process and production personnel can quickly select welding procedure qualifications that meet process requirements based on product weld statistics; otherwise, a notification is sent to initiate a new welding procedure qualification task.

[0014] Furthermore, in the welding process specification management module, a standardized, comprehensive welding process specification professional database is first established to achieve full digital unified management and intelligent design of welding process specifications. This database is searchable, accessible, and updatable, with data statistical analysis functions and modifiable access permissions. During welding process specification compilation, the system prioritizes welding procedure qualification and welder qualification items that meet the rules based on product weld information (welding method, joint type, material grade, specifications, heat treatment, welding position, etc.), automatically filling the qualification information into the welding process specification. It also provides early warning functions such as process compilation exceeding specifications and data compliance verification, supporting data modification and adjustment. A reasonable welding process knowledge base and parameter reasoning mechanism are established to support intelligent assistance in the rapid compilation of welding process specifications through knowledge reasoning. Based on weld joint design information such as bevel shape and dimensions, the system can calculate the welding material consumption quota for a single node and summarize the welding material consumption of all grades and specifications for the entire product.

[0015] Furthermore, in the welding process resource management module, various resource libraries are built to support welding process design, such as welding joints, base materials, welding materials, welding standards, welding knowledge, welding defects, and data dictionaries, forming a complete, detailed, consistent, and shared process resource library, ensuring the efficient operation of the welding quality system at the basic data level.

[0016] Furthermore, the welding project management module integrates with the PLM system, linking to the PLM's BOM tree. On the interactive interface, it automatically generates corresponding process design directories, including weld layout diagrams, weld statistics lists, and other ancillary nodes. After process documents are compiled within the welding process design expert system, they can be automatically created directly at the corresponding nodes in the PLM system, eliminating the need for manual uploading. Based on product weld statistics document templates, a reasonable process document matching algorithm (evaluation, procedures, qualifications, etc.) is designed to achieve rapid and intelligent configuration of weld process resources. Early in the technical preparation phase, it accurately identifies long-term task requirements such as testing, certification, and document compilation, and promptly initiates relevant procedures. Different process design and production management modes are defined according to product type, and a granular digital welding control system is designed to adapt to the welding production characteristics of different products. The structured process design data for product welding nodes in welding project management should effectively support the requirements of subsequent business functions such as process monitoring, production management, and quality traceability.

[0017] Prioritizing the construction of a welding production control system, this involves using information technology to collect, monitor, and record welding data in the workshop, connecting the data chains of process, production, and quality, and unifying the coordination and management of welding production. Structured data is used as the system data, with the basic task unit of welding operations being each welding process in the process flow card, progressively decomposed into product / batch → weld / weld bead through a tree-like data structure. When designing the production control software, data collection and recording are based on the "production control model," "production process," and "production tasks," ultimately generating product welding production archives. Specifically, this includes the following functional modules: production management module, equipment management module, and data visualization module.

[0018] Furthermore, the production management module interfaces with the production site management system. Based on the production scheduling of the production site management system, and using the welding process catalog as the basis for work assignment, the system considers the current status of welders' tasks in the workshop and equipment capacity to allocate production tasks to individual welders, realizing the management of welding operation assignment and reporting. The system generates welding task work orders based on the welding process catalog in the product process design, specifying the corresponding production control model for the product type. These work orders are categorized as product / batch level tasks (merged weld seams), weld / bead level tasks (separate weld seams), or mixed tasks. After receiving the work assignment from the production site management system, the welding team leader allocates the required welders, equipment, and other production resources for each sub-task node in the system according to the welding task work order, thus completing the welding operation assignment. When assigning a welder, the system will select qualified welders from the welder database according to the welder qualifications specified in the welding process specification, and will mark the current resource status of the welder and equipment. Welders log into the system on handheld devices (PADs), workstations, or other workstation control terminals, receive the task, and begin welding. After completing the work, they promptly close the task and report the welding operation. After the welder completes the welding operation and reports it, the welding team leader confirms and reports it to the production site management system, thus closing the production scheduling task in the production site management system. During production, the system automatically collects welding parameters and automatically retrieves the welding process specification parameters for the weld seam of the current task for real-time comparison and analysis. When welding parameters exceed the threshold range of the welding process specification parameters, an early warning or stop signal is issued. Welding production process related information can be traced and statistically analyzed according to product orders, welders, welding machines, etc. Based on the welding task work order information and the collected welding process parameters (welding current, arc voltage, welding speed, welding time, shielding gas flow rate, etc.), a welding record form is automatically generated according to a template, replacing or partially replacing manual entry. The system allows input of relevant weld quality inspection results for statistical analysis of welding pass rates and other information. Welding records for products are stored and retrievald, facilitating process monitoring and quality traceability for designated welding tasks. For welder continuous operation records, based on relevant welder examination standards, the system automatically compiles completed production tasks and their operational information for designated welders within a certain period (generally 6 months), and allows for filtering and categorization to form a raw database of welding records. Based on welders and their welding qualifications, the system automatically compiles compliant welding operation records to form a welder continuous operation record table for effective maintenance of welder qualifications. Relevant personnel can query, delete, and maintain the welding operation record table to meet the maintenance requirements of relevant qualification projects.

[0019] Furthermore, the equipment management module establishes a management ledger for on-site welding machines and workstation control terminals, allowing users to query information such as equipment model, equipment number, and equipment utilization rate. Equipment data can be searched by equipment and date, and waveform graphs can be set to be displayed or hidden. Multi-dimensional statistics generate daily, weekly, monthly, and annual reports on equipment operation, allowing users to view the number of times each piece of equipment has been used and the duration of operation at any time.

[0020] Furthermore, in the data visualization module, database information is extracted and collected according to the buyer's requirements through graphical configuration, displaying the production status and processing parameters of the welding machines in the workshop in real time. This includes information such as welding machine information, welder information, alarm information, over-limit voltage, and duration. This allows users to monitor the alarm status of multiple welding machines in real time, and users can query detailed historical alarm data at any time, including welding machine malfunctions and welding machine over-specification alarms.

[0021] Prioritize network integration and IT transformation. Specifically: the equipment industrial control network requires the manufacturer to conduct on-site surveys based on the equipment locations to design and construct the network. Existing workshop networks should be fully utilized, and a network security solution should be designed concurrently. The server should support microservice architecture, distributed data storage, virtualization, and containerized deployment, supporting domestic operating systems such as UOS and Kylin, and can support Ubuntu and Debian systems. The environment required for system deployment must also provide genuine licenses, such as operating systems, databases, and middleware. Deployed in a company-provided virtualization environment; supports B / S architecture, and common Chrome-based browsers such as 360 and Loongson browsers; the architecture should be open, supporting modular component development, open secondary development interfaces, and able to connect to system data via RESTful, WebSocket, and other interfaces, supporting standard interface protocols; using domestic databases and middleware such as DM. The data table design conforms to the group's relevant master data standards. For data for which the group has not published standards, it must comply with national and industry data element standards, information classification and coding standards. Data from all functional modules is stored in the same database, and the maintenance of the same business data has only one entry and maintenance point to ensure data uniqueness. It has a complete, stable, customizable, scalable, and multi-dimensional foundation that can adapt to business changes, supporting intuitive, flexible, and rich business reports and data analysis functions. It integrates with the group's IAM to achieve single sign-on (OAuth 2.0) for obtaining personnel and organizational information.

[0022] Furthermore, during network integration and information technology transformation, it is essential to ensure the stability and security of system operation. This mainly includes ensuring stable and reliable system functions, supporting large-scale data storage, data integrity verification, authorization and permission management, identity authentication, access control, network security design, and security auditing. Audit logs should include the date and time of the event, the user, the event type, whether the event was successful, and other audit-related information. Audit logs should be protected and backed up regularly to prevent unauthorized deletion, modification, or overwriting. Sensitive data in the system, such as accounts, passwords, and stored drawings and documents, should be encrypted to effectively ensure data security. For data interfaces, validation fields should be included to ensure the legality and integrity of the transmission process, and sensitive data should be transmitted using encrypted methods.

[0023] Compared with the prior art, the present invention has the following positive effects: The intelligent management system and method for welding data proposed in this invention can effectively realize the digital construction of welding workshops and process design, improve the efficiency of process document preparation and equipment operation efficiency, improve welding production quality, and provide important technical support for enterprises to increase efficiency and reduce costs. Attached Figure Description

[0024] Figure 1 A flowchart for an intelligent management system for welding data;

[0025] Figure 2 Interface diagram of the examination procedures for welding personnel;

[0026] Figure 3 Interface diagram of the welding personnel examination procedures module;

[0027] Figure 4 Interface diagram of the welding personnel examination plan module;

[0028] Figure 5 Interface diagram of the welding personnel examination registration module;

[0029] Figure 6 Interface diagram of the welding personnel skills assessment report module;

[0030] Figure 7 Interface diagram of welding personnel skill assessment codes;

[0031] Figure 8 Interface diagram of welding personnel skill assessment elements;

[0032] Figure 9 Diagram of the algorithm interface covering the skill qualification program for welding personnel;

[0033] Figure 10 Diagram of the welding procedure qualification number issuance interface;

[0034] Figure 11Interface diagram of welding process qualification report;

[0035] Figure 12 Interface diagram of base material (standard) for welding process resource management;

[0036] Figure 13 Welding process resources: Welding joint interface diagram;

[0037] Figure 14 Welding process resources and welding standard interface diagram;

[0038] Figure 15 Interface diagram of the production planning module of the welding production control system;

[0039] Figure 16 Interface diagram of the task order module in the welding production control system;

[0040] Figure 17 Interface diagram of the work order process module in the welding production control system;

[0041] Figure 18 Interface diagram of the work dispatch and maintenance details module in the welding production control system;

[0042] Figure 19 Interface diagram of the dispatching factory model module in the welding production control system;

[0043] Figure 20 Interface diagram of the production weld data maintenance module of the welding production control system. Detailed Implementation

[0044] The present invention will be further described below with reference to specific embodiments.

[0045] The present invention will be described below based on embodiments. Those skilled in the art should understand that the accompanying drawings provided herein are for illustrative purposes and are not necessarily drawn to scale.

[0046] Example 1

[0047] A welding data intelligent management system and method are disclosed for use in the welding manufacturing process of nuclear equipment, implementing the process as follows: Figure 1 As shown, the specific steps are as follows:

[0048] S1: Construction of a welding process design expert system;

[0049] S2: Construction of welding production system;

[0050] S3: Network integration and information technology transformation;

[0051] S1: Construction of a Welding Process Design Expert System. Specifically, this involves using information technology to effectively accumulate and reuse welding data, knowledge, experience, and resources; computer-aided intelligent process design to reduce technical risks such as errors, omissions, and repetitions; and improving the efficiency and quality of process preparation. It includes the following functional modules: Welder Management Module, Welding Procedure Qualification Management Module, Welding Procedure Specification Management Module, Welding Process Resource Management Module, and Welding Project Management Module.

[0052] Furthermore, in the welder management module, a standardized, comprehensive welder qualification database is first established to achieve unified digital management of welders' basic information and qualification items. The welder database is searchable, accessible, and updatable, with data statistical analysis functions and modifiable access control. It mainly includes a welder skills assessment module and a welder qualification item module. The welder skills assessment module includes key functions such as examination regulations, examination plans, examination registration, and skills assessment reports. An example of the examination regulations interface is shown below. Figure 1 As shown, it includes functions such as query, add, edit, copy, delete, and export; the examination procedures module interface is shown in the figure below. Figure 2 As shown, it includes functions such as query, add, edit, copy, delete, and export; the exam plan module interface is as follows. Figure 3 As shown, the tree structure is divided into two levels. The first level is the exam plan (i.e., project nodes), and the second level is the version number (i.e., data nodes). The version number node is automatically generated following the exam plan number node. The exam registration module interface is as follows. Figure 4 As shown, it includes functions such as query, add, edit, copy, delete, and export; the skills assessment report module interface is as follows. Figure 5 As shown, it includes functions such as query, add, edit, copy, delete, and export. The welding personnel qualification module mainly includes functions such as personnel qualifications, skill assessment codes, skill assessment elements, and qualification item coverage algorithms. The personnel qualification interface diagram is shown below. Figure 6 As shown, it includes functions such as query, add, edit, copy, delete, and export; the skill assessment code interface is shown in the figure below. Figure 7 As shown, it includes functions such as query, add, edit, copy, delete, and export; the interface diagram of skill assessment elements is shown below. Figure 8 As shown, it includes functions such as query, add, edit, copy, delete, and export; the interface diagram of the qualification project coverage algorithm is shown below. Figure 9 As shown, it includes functions such as query, add, edit, copy, delete, and export;

[0053] Furthermore, the welding procedure qualification management module mainly includes modules such as qualification procedures, qualification number allocation, procedure qualification report, qualification coverage algorithm, and procedure qualification elements. The qualification number allocation interface is shown in the image below. Figure 10As shown, it includes functions such as query, add, edit, copy, delete, and export; the interface diagram of the process evaluation report is shown below. Figure 11 As shown, it includes functions such as query, add, edit, data tracking, copy, delete, and export;

[0054] Furthermore, the welding process resource management module mainly includes query functions for base materials (standards), welding materials (standards), welding materials (re-inspection), welded joints, welding standards, welding knowledge, and welding defects. The interface for base materials (standards) is shown below. Figure 12 As shown, it includes functions such as query, add, edit, copy, delete, and export. The welding materials (standard) and welding materials (re-inspection) sections also include these functions. The welding joint interface diagram is shown below. Figure 13 As shown, it includes functions such as query, add, edit, copy, delete, and export. A diagram of the welding standard interface is shown below. Figure 14 As shown, it includes functions such as query, add, edit, copy, delete, and export. The welding knowledge and welding defects modules include functions such as query, add, edit, copy, delete, and export.

[0055] Furthermore, the welding project management module mainly includes two aspects: tree structure operations and project data content operations, as shown in the figure. The tree structure includes functions such as adding project management, renaming, deleting, copying, adding components, welding data packages, version upgrades / summaries, and initiating workflows. For project management data content, operations include querying, adding, editing, data tracking, copying, deleting, and exporting.

[0056] S2: Welding Production System Construction. Specifically, this involves using information technology to collect, monitor, and record workshop welding data, connecting the data chains of process, production, and quality, and unifying the coordination and management of workshop welding production. Structured data is used as the system data, with the basic task unit of welding operations being each welding process in the process flow card. This is progressively decomposed into product / batch → weld / weld bead through a tree-like data structure. When designing the production control software, data collection and recording are based on the "production control model," "production process," and "production tasks," ultimately generating product welding production archives. This includes the following functional modules: production planning module, task work order module, work order process module, dispatch maintenance details module, factory model module, welding equipment ledger module, and production weld data maintenance module. The production planning interface diagram is shown below. Figure 15 As shown, the first level of the tree structure includes functions such as adding a production plan, adding a data node, creating a new data node, renaming a node, deleting, copying / pasting, and upgrading. The second level of the tree structure includes functions such as querying, adding, editing, copying, deleting, and exporting; the task work order interface is shown in the figure. Figure 16 As shown, it includes functions such as querying, adding, editing, issuing work orders, restoring work orders, pausing work orders, closing work orders, automatic generation of production weld data sheets and welding parameter reports, data tracking, copying, deleting, and exporting; the work order process interface diagram is shown below. Figure 17 As shown, it includes functions such as query, add, edit, dispatch maintenance, data tracking, copy, delete, and export; the dispatch maintenance details interface is shown in the figure below. Figure 18 As shown, it includes functions such as query, add, edit, copy, delete, and export; the dispatch factory model interface diagram is shown below. Figure 19 As shown, it includes functions such as query, add, edit, copy, delete, and export; the production weld data maintenance interface is shown in the figure below. Figure 20 As shown, it includes functions such as query, add, edit, start, complete, pause, data tracking, copy, delete, and export.

[0057] S3: Network Integration and Information Technology Transformation. Specifically, the equipment industrial control network should be designed and constructed based on the locations of the aforementioned equipment after on-site surveys. The existing network in the workshop should be fully utilized, and a network security protection plan should be designed simultaneously.

[0058] Furthermore, the server supports microservice architecture, distributed data storage, virtualization, and containerized deployment, and supports domestic operating systems such as UOS and Kylin, as well as Ubuntu and Debian systems. The environment required for system deployment must also be officially licensed, including the operating system, database, and middleware, and deployed in the company's virtualization environment.

[0059] Furthermore, it supports B / S architecture and common Chrome kernel browsers such as 360 Browser and Loongson Browser;

[0060] Furthermore, the architecture is open, supports modular component development, provides open secondary development interfaces, and can connect to system data through interfaces such as RESTful and WebSocket, supporting standard interface protocols;

[0061] Furthermore, domestic databases and middleware such as DM are used. The data table design conforms to the group's relevant master data standards. For data standards not published by the group, they must conform to national and industry data element standards, information classification and coding standards. Data from all functional modules is stored in the same database, and the maintenance of the same business data has only one entry point for input and maintenance to ensure data uniqueness. It has a complete, stable, customizable, scalable, and multi-dimensional foundation that can adapt to business changes, and supports intuitive, flexible, and rich business reports and data analysis functions.

[0062] Furthermore, the group's IAM integration enables single sign-on (OAuth2.0) to obtain personnel and organizational information.

[0063] Furthermore, during network integration and information technology transformation, it is essential to ensure the stability and security of system operation. This mainly includes ensuring stable and reliable system functions, supporting large-scale data storage, data integrity verification, authorization and permission management, identity authentication, access control, network security design, and security auditing. Audit logs should include the date and time of the event, the user, the event type, whether the event was successful, and other audit-related information. Audit logs should be protected and backed up regularly to prevent unauthorized deletion, modification, or overwriting. Sensitive data in the system, such as accounts, passwords, and stored drawings and documents, should be encrypted to effectively ensure data security. For data interfaces, validation fields should be included to ensure the legality and integrity of the transmission process, and sensitive data should be transmitted using encrypted methods.

[0064] Analysis of the results of the embodiments shows that the intelligent management system and method for welding data proposed in this invention, through components including a welding process design expert system, welder management, welding process qualification management, welding process specification management, welding process resource management, welding project management, production management, equipment management, data visualization, and workstation data acquisition, can realize the digital construction of welding workshops and process design, effectively improve the efficiency of process document preparation and the overall operating efficiency of equipment, help meet the needs of enterprise digital transformation, and provide technical support and important support for enterprises to improve quality, increase efficiency, and reduce costs in smart factories.

[0065] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. For those skilled in the art, the present invention can be modified and varied in various ways. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of the present invention should be included within the scope of protection of the present invention.

Claims

1. A welding data intelligent management system and method, characterized in that... The steps are as follows: S1: Construction of a Welding Process Design Expert System; specifically, in the welder management module, a standardized, comprehensive welder qualification database is first established to achieve unified digital management of welder basic information and qualification items; the welder database is searchable, accessible, and updatable, with data statistical analysis functions and modifiable access control; it mainly includes a welder skill assessment module and a welder qualification item module; the welder skill assessment module includes key functions such as examination regulations, examination plans, examination registration, and skill assessment reports; the welding process qualification management module mainly includes assessment procedures, assessment numbering, and process qualification reports. The system includes modules for evaluation coverage algorithms and process evaluation elements. The welding process resource management module primarily includes query functions for base materials (standards), welding materials (standards), welding materials (re-inspection), welded joints, welding standards, welding knowledge, and welding defects. The welding project management module mainly includes tree structure operations and project data content operations, as shown in the figure. The tree structure includes functions such as adding project management, renaming, deleting, copying, adding components, welding data packages, version upgrades / summaries, and initiating processes. For project management data content, operations include querying, adding, editing, data tracking, copying, deleting, and exporting. S2: Welding Production System Construction; Specifically, it involves: using information technology to collect, monitor, and record workshop welding data, connecting the data chains of process, production, and quality, and unifying the coordination and management of workshop welding production; using structured data as system data, with the basic task unit of welding operations being each welding process in the process flow card, progressively decomposed into product / batch → weld / weld bead through a tree-like data structure; when designing the production control software, data collection and recording are completed based on the "production control model," "production process," and "production task," ultimately generating product welding production archives; specifically including the following functional modules: production planning module, task work order module, work order process module, dispatch maintenance details module, factory model module, welding equipment ledger module, and production weld data maintenance module, etc. S3: Network Integration and Information Technology Transformation; Specifically: The equipment industrial control network should be designed and constructed based on the above-mentioned equipment locations after on-site surveys. The existing workshop network should be fully utilized, and a network security protection plan should be designed simultaneously. The server should support microservice architecture, distributed data storage, virtualization, and containerized deployment, supporting domestic operating systems such as UOS and Kylin, and can support Ubuntu and Debian systems. The environment required for system deployment must also provide genuine licenses, such as operating systems, databases, and middleware. Deployment should be within the company-provided virtualization environment. Support for B / S architecture and common Chrome kernel browsers such as 360 and Loongson browsers is required. The architecture should be open, supporting modular component development, open secondary development interfaces, and able to connect to system data via RESTful, WebSocket, and other interfaces, supporting standard interface protocols. Domestic databases such as DM should be used. Middleware; Group IAM integration to achieve single sign-on (OAuth 2.0) for obtaining personnel and organizational information; During network integration and information technology transformation, it is necessary to ensure the stability and security of system operation, mainly including stable and reliable system functions, support for large-scale data storage, data integrity verification, authorization and permission management, identity authentication, access control, network security design, and security auditing functions; Audit logs should include the date and time of the event, user, event type, whether the event was successful, and other audit-related information. Audit logs should be protected and backed up regularly to prevent unexpected deletion, modification, or overwriting; Sensitive data in the system, such as accounts, passwords, and drawings and documents stored in the system, should be encrypted to effectively ensure data security; For data interfaces, there should be validation fields to ensure the legality and integrity of the transmission process, and sensitive data should be transmitted using encrypted methods.

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